Index

A

abs_der() (in module nnsa.utils.mathematics) accuracy() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) add() (nnsa.Parameters method) (nnsa.parameters.parameters.Parameters method) add_artefacts() (in module nnsa.utils.dummy_data) add_nested_dict() (in module nnsa.utils.dictionaries) add_postfix() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) add_prefix() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) add_scalebar() (in module nnsa.utils.scalebars) add_sleep_features_2() (in module nnsa.feature_extraction.sleep_stages) additional_info (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) aggregate() (nnsa.feature_extraction.brainagemodel.core.ensemblemodels.EnsembleModels method) aggregate_bursts() (nnsa.BurstDetectionResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) aggregate_channel_events() (in module nnsa.feature_extraction.common) aggregate_channel_features() (in module nnsa.feature_extraction.common) aggregate_channel_segment_features() (in module nnsa.feature_extraction.common) aggregate_ibis() (nnsa.BurstDetectionResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) aggregate_segment_features() (in module nnsa.feature_extraction.common) algorithm_parameters (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) align() (in module nnsa.utils.normalization) all_models (nnsa.BrainAgeSinc property) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc property) amplitude_eeg() (nnsa.AmplitudeEeg method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.feature_extraction.aeeg.AmplitudeEeg method) (nnsa.TimeSeries method) AmplitudeEeg (class in nnsa) (class in nnsa.feature_extraction.aeeg) AmplitudeEegResult (class in nnsa) (class in nnsa.feature_extraction.aeeg) AnchoredScaleBar (class in nnsa.utils.scalebars) Annotation (class in nnsa) (class in nnsa.annotations) (class in nnsa.annotations.annotation) (class in nnsa.edfreadpy.annotations.annotation) annotation_conversions() (nnsa.feature_extraction.sleep_stages.SleepStages method) (nnsa.SleepStages method)

annotation_set (nnsa.feature_extraction.sleep_stages.SleepStagesResult property) (nnsa.SleepStagesResult property) annotation_to_label() (in module nnsa.annotations.sleep_stages) annotations (nnsa.annotations.annotation_set.AnnotationSet property) (nnsa.annotations.AnnotationSet property) (nnsa.AnnotationSet property) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet property) AnnotationSet (class in nnsa) (class in nnsa.annotations) (class in nnsa.annotations.annotation_set) (class in nnsa.edfreadpy.annotations.annotation_set) anonymize() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) anonymize_and_save() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) append() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) append_and_save() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) apply_delay() (in module nnsa.utils.arrays) as_brain_rt() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) as_dict() (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) asarray() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) assert_equal() (in module nnsa) (in module nnsa.utils.testing) assign() (nnsa.feature_extraction.brainagemodel.core.config.Config method) astype() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) auc() (in module nnsa.feature_extraction.time_domain) autoscale_rec() (in module nnsa.cwt) (in module nnsa.cwt.utils) average_accuracy() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) average_mse (nnsa.feature_extraction.entropy.MultiScaleEntropyResult property) (nnsa.MultiScaleEntropyResult property) average_signals() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) average_silhouette() (in module nnsa.models.evaluation)

B

BaseDataset (class in nnsa) (class in nnsa.containers.datasets) baseline_correction_min() (in module nnsa.feature_extraction.common) (nnsa.EnvelopeResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) BaseReader (class in nnsa.edfreadpy.io.reader) basic_repr() (in module nnsa.utils.objects) beep() (in module nnsa.utils.testing) beta (nnsa.keras.callbacks.BetaUpdateCallback property) (nnsa.keras.callbacks.LambdaBetaUpdateCallback property) BetaUpdateCallback (class in nnsa.keras.callbacks) binary_classification_scores() (in module nnsa.models.evaluation) boxplot_paired() (in module nnsa.utils.dataframes) brain_age() (nnsa.feature_extraction.brain_age.BrainAge method) brain_age_rf() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) brain_age_sinc() (nnsa.BrainAgeSinc method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc method) BrainAge (class in nnsa.feature_extraction.brain_age) BrainAgeResult (class in nnsa) (class in nnsa.feature_extraction.brain_age) (class in nnsa.feature_extraction.brain_age_cnn)

BrainAgeSinc (class in nnsa) (class in nnsa.feature_extraction.brain_age_cnn) buid_q_log() (in module nnsa.feature_extraction.fractality) build_prediction_interval() (in module nnsa.models.conformal_prediction) build_prediction_set() (in module nnsa.models.conformal_prediction) burst_detection() (nnsa.BurstDetection method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.feature_extraction.discontinuity.BurstDetection method) (nnsa.TimeSeries method) burst_id (nnsa.BurstDetectionResult property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) burst_label (nnsa.BurstDetectionResult property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) BurstDetection (class in nnsa) (class in nnsa.feature_extraction.discontinuity) BurstDetectionResult (class in nnsa) (class in nnsa.feature_extraction.discontinuity) Butterworth (class in nnsa) (class in nnsa.preprocessing.filter)

C

call() (nnsa.keras.layers.Sampling method) (nnsa.keras.utils.MonteCarloDropout method) channel_labels (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) check_amplitude() (in module nnsa.artefacts.artefact_detection) check_amplitude_mad() (in module nnsa.artefacts.artefact_detection) check_directory_exists() (in module nnsa.utils) (in module nnsa.utils.paths) check_file_extension() (in module nnsa.utils) (in module nnsa.utils.paths) check_filename_exists() (in module nnsa.utils) (in module nnsa.utils.paths) check_max_diff() (in module nnsa.artefacts.artefact_detection) check_multichannel_data_matrix() (in module nnsa.feature_extraction.common) check_unit() (in module nnsa.edfreadpy.io.utils) clamp() (in module nnsa) (in module nnsa.utils.arrays) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) clamp_eeg() (in module nnsa.preprocessing.eeg) class_conformal_score() (in module nnsa.models.conformal_prediction) class_labels (nnsa.BurstDetectionResult property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) (nnsa.feature_extraction.sleep_stages.SleepStagesResult property) (nnsa.SleepStagesResult property) class_mapping (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult property) (nnsa.feature_extraction.sleep_stages.SleepStagesResult property) (nnsa.SleepStagesCnnResult property) (nnsa.SleepStagesResult property) class_mapping_invert (nnsa.feature_extraction.sleep_stages.SleepStagesResult property) (nnsa.SleepStagesResult property) class_numbers() (nnsa.BurstDetectionResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) class_numbers_to_labels() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) ClassWithParameters (class in nnsa) (class in nnsa.parameters.parameters) clean_detector_cnn (nnsa.SleepStagesRobust property) clean_up_text() (in module nnsa.annotations.sleep_stages) CleanDetectorCnn (class in nnsa) (class in nnsa.artefacts.clean_detector_cnn) clear() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) clip_overlaps() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) close() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) close_file() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.BaseReader method) (nnsa.edfreadpy.io.reader.EdfReader method) cluster_inertia() (in module nnsa.models.evaluation) coef_ (nnsa.models.regressors.LinReg property) coherence_dynamic_coupling() (nnsa.DynamicCoupling method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling method) coherence_graph() (nnsa.CoherenceGraph method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) (nnsa.feature_extraction.connectivity.CoherenceGraph method) CoherenceGraph (class in nnsa) (class in nnsa.feature_extraction.connectivity) CoherenceGraphResult (class in nnsa) (class in nnsa.feature_extraction.connectivity) coi() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) collect_high_cor_values() (in module nnsa.utils.dataframes) color_background() (in module nnsa.utils.plotting) combine_channels() (in module nnsa) (in module nnsa.preprocessing.combine_channels) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) compute_AAFT_surrogate() (in module nnsa.stats.surrogates) compute_aeeg_cc() (in module nnsa.feature_extraction.aeeg) compute_aeeg_neat() (in module nnsa.feature_extraction.aeeg) compute_aeeg_tw() (in module nnsa.feature_extraction.aeeg) compute_anonymized_date() (in module nnsa.edfreadpy.anonymization.anonymization) compute_ar1() (in module nnsa.stats.surrogates) compute_AR_surrogate() (in module nnsa.stats.surrogates) compute_average_coherence() (nnsa.CoherenceGraphResult method) (nnsa.feature_extraction.connectivity.CoherenceGraphResult method) compute_average_path_length() (in module nnsa.feature_extraction.connectivity) compute_average_path_lengths() (nnsa.CoherenceGraphResult method) (nnsa.feature_extraction.connectivity.CoherenceGraphResult method) compute_average_slopes() (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.MultiScaleEntropyResult method) compute_coi() (in module nnsa.cwt) (in module nnsa.cwt.utils) (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) compute_complexity_index() (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.MultiScaleEntropyResult method) compute_correlation_matrix() (in module nnsa.utils.dataframes) compute_coverage() (in module nnsa.models.conformal_prediction) compute_days_to_shift() (in module nnsa.edfreadpy.anonymization.anonymization) compute_dist_matrix() (in module nnsa.feature_extraction.connectivity) compute_eeg_grade() (nnsa.feature_extraction.discontinuity.IbiFeaturesResult method) compute_entropy() (in module nnsa.utils.mathematics) compute_event_durations() (nnsa.BurstDetectionResult static method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult static method) compute_event_occurrences() (nnsa.BurstDetectionResult static method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult static method) compute_event_percentage() (nnsa.BurstDetectionResult static method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult static method) compute_features() (in module nnsa.feature_extraction.feature_sets.eeg) (nnsa.BurstDetectionResult method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) (nnsa.EnvelopeResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) compute_features_S1() (in module nnsa.feature_extraction.feature_sets.eeg) compute_features_S2() (in module nnsa.feature_extraction.feature_sets.eeg)

compute_flatness() (in module nnsa.feature_extraction.time_domain) compute_frequency_response() (nnsa.FilterBase method) (nnsa.preprocessing.filter.FilterBase method) compute_FT_surrogate() (in module nnsa.stats.surrogates) compute_global_features() (nnsa.BurstDetectionResult method) (nnsa.CoherenceGraphResult method) (nnsa.feature_extraction.connectivity.CoherenceGraphResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) (nnsa.feature_extraction.result.ResultBase method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.ResultBase method) (nnsa.SleepStagesCnnResult method) (nnsa.SleepStagesResult method) compute_global_features_per_sleep_stage() (nnsa.BurstDetectionResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) compute_IAAFT_surrogate() (in module nnsa.stats.surrogates) compute_ibi_percentage() (nnsa.feature_extraction.discontinuity.IbiFeaturesResult method) compute_linewidth() (in module nnsa.utils.plotting) compute_mad() (in module nnsa.stats.statistics) compute_median_in_window() (nnsa.feature_extraction.discontinuity.IbiFeaturesResult method) compute_moi() (in module nnsa.cwt) (in module nnsa.cwt.utils) compute_n_segments() (in module nnsa.utils.segmentation) compute_nan_durations() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) compute_normalization_pars() (nnsa.models.regressors.DualRegression static method) compute_partial_coherence() (in module nnsa.cwt) (in module nnsa.cwt.transforms) compute_power() (nnsa.feature_extraction.frequency_analysis.PsdResult method) (nnsa.PsdResult method) compute_power_cwt() (in module nnsa.cwt) (in module nnsa.cwt.utils) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) compute_q_hat() (in module nnsa.models.conformal_prediction) compute_rbf_1d() (in module nnsa.feature_extraction.kernels) compute_reconstruction() (in module nnsa.cwt) (in module nnsa.cwt.utils) compute_recording_composition() (nnsa.SleepStagesRobustResult method) compute_reg_cost() (nnsa.models.regressors.LinReg method) compute_relative_power() (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult method) (nnsa.PowerAnalysisResult method) compute_RS_surrogate() (in module nnsa.stats.surrogates) compute_score() (in module nnsa.models.conformal_prediction) compute_separation_scores() (in module nnsa.models.evaluation) compute_sleep_composition() (nnsa.SleepStagesRobustResult method) compute_sleep_cyclicity() (nnsa.SleepStagesRobustResult method) compute_surrogate() (in module nnsa.stats.surrogates) compute_surrogate_couplings_sample() (in module nnsa.stats.surrogates) compute_surrogate_fun() (in module nnsa.stats.surrogates) compute_survival() (nnsa.SleepStagesRobustResult method) compute_unexpected_transitions() (nnsa.SleepStagesRobustResult method) compute_usable_percentage() (nnsa.SleepStagesRobustResult method) compute_wavelet_coherence() (in module nnsa.cwt) (in module nnsa.cwt.transforms) Config (class in nnsa.feature_extraction.brainagemodel.core.config) conformal_diagnostics() (in module nnsa.models.conformal_prediction) confusion_matrix() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) ConfusionMatrix (class in nnsa) (class in nnsa.models.evaluation) conv1d_block() (in module nnsa.keras.layers) conv1dtranspose_block() (in module nnsa.keras.layers) conv2d_block() (in module nnsa.keras.layers) conv2dtranspose_block() (in module nnsa.keras.layers) convert_classes() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) convert_freq_scale() (in module nnsa.feature_extraction.wavelets) convert_string() (in module nnsa.utils.other) convert_string_auto() (in module nnsa.utils.other) convert_time_scale() (in module nnsa.utils.conversions) convert_to_h5() (in module nnsa.keras.utils) convert_to_nnsa_class_callable() (in module nnsa.utils.objects) copy() (nnsa.feature_extraction.brainagemodel.core.config.Config method) correlation_dynamic_coupling() (nnsa.DynamicCoupling method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling method) count_annotations_per_class() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) count_nans() (in module nnsa.utils.arrays) count_neighbors() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) create_bipolar_channel() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) create_bipolar_channels() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) create_block_hankel() (in module nnsa.decompositions) (in module nnsa.decompositions.side_obsp) create_hankel() (in module nnsa.preprocessing.expansions) create_mask() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) create_regularizer() (nnsa.models.regressors.LinReg static method) cross_validate() (in module nnsa.training.cross_validation) cut_top() (in module nnsa.keras.utils) CWT (class in nnsa.feature_extraction.wavelets) cwt() (in module nnsa.cwt) (in module nnsa.cwt.transforms) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.wavelets.CWT method) (nnsa.TimeSeries method) cwt_2d() (in module nnsa.cwt) (in module nnsa.cwt.transforms) cwt_power() (in module nnsa.cwt) (in module nnsa.cwt.utils) cwt_total_power() (in module nnsa.cwt) (in module nnsa.cwt.utils) CWTResult (class in nnsa.feature_extraction.wavelets) cycle_count() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method)

D

data_requirements (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn property) (nnsa.BrainAgeSinc property) (nnsa.CleanDetectorCnn property) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc property) (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) (nnsa.SleepStagesRobust property) default_edf_file_header() (in module nnsa.edfreadpy.io.config) default_edf_signal_header() (in module nnsa.edfreadpy.io.config) default_eeg_sample_quality_criteria() (in module nnsa.artefacts.artefact_detection) default_eeg_signal_quality_criteria() (in module nnsa.artefacts.artefact_detection) default_oxygen_sample_quality_criteria() (in module nnsa.artefacts.artefact_detection) default_parameters() (nnsa.AmplitudeEeg static method) (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn static method) (nnsa.BrainAgeSinc static method) (nnsa.BurstDetection static method) (nnsa.Butterworth static method) (nnsa.ClassWithParameters static method) (nnsa.CleanDetectorCnn static method) (nnsa.CoherenceGraph static method) (nnsa.containers.time_series.TimeSeries static method) (nnsa.containers.TimeSeries static method) (nnsa.DynamicCoupling static method) (nnsa.Envelope static method) (nnsa.feature_extraction.aeeg.AmplitudeEeg static method) (nnsa.feature_extraction.brain_age.BrainAge static method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc static method) (nnsa.feature_extraction.connectivity.CoherenceGraph static method) (nnsa.feature_extraction.discontinuity.BurstDetection static method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling static method) (nnsa.feature_extraction.entropy.MultiScaleEntropy static method) (nnsa.feature_extraction.envelope.Envelope static method) (nnsa.feature_extraction.fractality.LineLength static method) (nnsa.feature_extraction.fractality.MultifractalAnalysis static method) (nnsa.feature_extraction.frequency_analysis.PowerAnalysis static method) (nnsa.feature_extraction.frequency_analysis.Psd static method) (nnsa.feature_extraction.sleep_stages.SleepStages static method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnn static method) (nnsa.feature_extraction.statistics.SignalStats static method) (nnsa.feature_extraction.wavelets.CWT static method) (nnsa.feature_extraction.wavelets.WaveletCoherence static method) (nnsa.FilterBase static method) (nnsa.LineLength static method) (nnsa.MovingAverage static method) (nnsa.MultifractalAnalysis static method) (nnsa.MultiScaleEntropy static method) (nnsa.NotchIIR static method) (nnsa.parameters.parameters.ClassWithParameters static method) (nnsa.PowerAnalysis static method) (nnsa.preprocessing.filter.Butterworth static method) (nnsa.preprocessing.filter.FilterBase static method) (nnsa.preprocessing.filter.MovingAverage static method) (nnsa.preprocessing.filter.NeatFIR static method) (nnsa.preprocessing.filter.NotchIIR static method) (nnsa.preprocessing.filter.RemezFIR static method) (nnsa.preprocessing.filter.WinFIR static method) (nnsa.Psd static method) (nnsa.RemezFIR static method) (nnsa.SignalStats static method) (nnsa.SleepStages static method) (nnsa.SleepStagesCnn static method) (nnsa.SleepStagesRobust static method) (nnsa.TimeSeries static method) (nnsa.WaveletCoherence static method) (nnsa.WinFIR static method) delay_correlation() (in module nnsa.feature_extraction.correlation) demean() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) dense_block() (in module nnsa.keras.layers) detect_anomalous_channels() (in module nnsa) (in module nnsa.artefacts.artefact_detection) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method)

detect_artefact_samples() (in module nnsa.artefacts.artefact_detection) detect_artefact_signals() (in module nnsa.artefacts.artefact_detection) detect_artefacts() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_artefacts_amplitude() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_artefacts_amplitude_kaupilla() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_artefacts_cnn() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_artefacts_kota() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_artefacts_method() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_artefacts_rfc() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) detect_flatlines() (in module nnsa.artefacts.artefact_detection) detect_high_amplitudes() (in module nnsa.artefacts.artefact_detection) detrend() (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) detrend_poly() (in module nnsa.preprocessing.detrending) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) df (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult property) (nnsa.SleepStagesCnnResult property) dibi_burst_detection() (nnsa.BurstDetection static method) (nnsa.feature_extraction.discontinuity.BurstDetection static method) different_regression_scores() (in module nnsa.utils.dataframes) dj (nnsa.feature_extraction.wavelets.CWTResult property) (nnsa.feature_extraction.wavelets.WaveletResult property) (nnsa.WaveletResult property) do_for_axis() (in module nnsa.utils.arrays) downsample() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) draw_graph() (in module nnsa.feature_extraction.connectivity) drop_col_feat_imp() (in module nnsa.training.feature_importance) dropna() (in module nnsa.training.utils) dt (nnsa.feature_extraction.wavelets.CWTResult property) (nnsa.feature_extraction.wavelets.WaveletResult property) (nnsa.WaveletResult property) dtype (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.TimeSeries property) DualRegression (class in nnsa.models.regressors) duration (nnsa.Annotation property) (nnsa.annotations.Annotation property) (nnsa.annotations.annotation.Annotation property) (nnsa.BurstDetectionResult property) (nnsa.edfreadpy.annotations.annotation.Annotation property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) durations() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) dynamic_coupling() (nnsa.DynamicCoupling method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling method) DynamicCoupling (class in nnsa) (class in nnsa.feature_extraction.dynamic_coupling) DynamicCouplingResult (class in nnsa) (class in nnsa.feature_extraction.dynamic_coupling)

E

EdfReader (class in nnsa) (class in nnsa.edfreadpy) (class in nnsa.edfreadpy.io.reader) (class in nnsa.io.readers) EegDataset (class in nnsa) (class in nnsa.containers) (class in nnsa.containers.datasets) enable_monte_carlo_dropout() (in module nnsa.keras.utils) (in module nnsa.utils.keras) encoding (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) end_time() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) eng (nnsa.AmplitudeEeg property) (nnsa.feature_extraction.aeeg.AmplitudeEeg property) (nnsa.feature_extraction.fractality.MultifractalAnalysis property) (nnsa.MultifractalAnalysis property) EnsembleModels (class in nnsa.feature_extraction.brainagemodel.core.ensemblemodels) enumerate_axes() (in module nnsa.utils.plotting) enumerate_label() (in module nnsa.utils.other) Envelope (class in nnsa) (class in nnsa.feature_extraction.envelope) envelope() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.Envelope method) (nnsa.feature_extraction.envelope.Envelope method) (nnsa.TimeSeries method) envelope_burst_detection() (nnsa.BurstDetection static method) (nnsa.feature_extraction.discontinuity.BurstDetection static method) EnvelopeResult (class in nnsa) (class in nnsa.feature_extraction.envelope) extend() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) extract_channels() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.feature_extraction.fractality.LineLengthResult method) (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult method) (nnsa.LineLengthResult method) (nnsa.MultiScaleEntropyResult method) (nnsa.PowerAnalysisResult method)

extract_cleanest_epoch() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) extract_default_channels() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) extract_epoch() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.BaseDataset method) (nnsa.BurstDetectionResult method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) (nnsa.feature_extraction.result.ResultBase method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.ResultBase method) (nnsa.SleepStagesResult method) (nnsa.TimeSeries method) extract_epoch_and_save() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) extract_features() (nnsa.feature_extraction.fractality.MultifractalAnalysisResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.MultifractalAnalysisResult method) (nnsa.SleepStagesResult method) extract_global_features() (nnsa.BurstDetectionResult method) (nnsa.CoherenceGraphResult method) (nnsa.EnvelopeResult method) (nnsa.feature_extraction.connectivity.CoherenceGraphResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) (nnsa.feature_extraction.fractality.LineLengthResult method) (nnsa.feature_extraction.fractality.MultifractalAnalysisResult method) (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.LineLengthResult method) (nnsa.MultifractalAnalysisResult method) (nnsa.MultiScaleEntropyResult method) (nnsa.PowerAnalysisResult method) (nnsa.SleepStagesResult method) extract_histogram_features() (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult method) (nnsa.PowerAnalysisResult method) extract_margins() (nnsa.AmplitudeEegResult method) (nnsa.feature_extraction.aeeg.AmplitudeEegResult method) extract_patient_file_id() (in module nnsa.edfreadpy.anonymization.anonymization)

F

f1() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) false_negatives() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) false_positives() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) feature_correction_lin_reg() (in module nnsa.utils.dataframes) FeatureSetResult (class in nnsa) (class in nnsa.feature_extraction.feature_sets.base) fftdeconvolve() (in module nnsa.decompositions) (in module nnsa.decompositions.fourier) file_header (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) fill_nan() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) fill_unlabeled_periods() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) filter() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.EegDataset method) (nnsa.FilterBase method) (nnsa.preprocessing.filter.FilterBase method) (nnsa.TimeSeries method) filter_aeeg_zhang() (in module nnsa.feature_extraction.aeeg) filter_bandpassfir_a() (in module nnsa.preprocessing.saved_filters) filter_cnn_ansari_2019() (in module nnsa.preprocessing.saved_filters) filter_fun() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) filter_saved_filter() (in module nnsa.preprocessing.saved_filters) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) filter_signal() (in module nnsa.preprocessing.filter) FilterBase (class in nnsa) (class in nnsa.preprocessing.filter) filtfilt() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.FilterBase method) (nnsa.preprocessing.filter.FilterBase method) (nnsa.TimeSeries method)

fit() (nnsa.decompositions.side_obsp.SideObsp method) (nnsa.decompositions.SideObsp method) (nnsa.models.regressors.DualRegression method) (nnsa.models.regressors.LinReg method) (nnsa.SideObsp method) fit_hyper() (nnsa.decompositions.side_obsp.SideObsp method) (nnsa.decompositions.SideObsp method) (nnsa.SideObsp method) fit_transform() (nnsa.decompositions.side_obsp.SideObsp method) (nnsa.decompositions.SideObsp method) (nnsa.SideObsp method) flambda() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) flatten_dict() (in module nnsa.utils.dictionaries) flush_all_digital_data() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) format_time_axis() (in module nnsa) (in module nnsa.utils.plotting) freq2scal() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) frequencies (nnsa.feature_extraction.frequency_analysis.PsdResult property) (nnsa.PsdResult property) from_array() (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.EegDataset static method) from_data_dict() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) from_df() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) from_lists() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) from_mask() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) fs (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.feature_extraction.result.ResultBase property) (nnsa.FilterBase property) (nnsa.preprocessing.filter.FilterBase property) (nnsa.ResultBase property) (nnsa.TimeSeries property) fs_output (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn property) (nnsa.CleanDetectorCnn property) fscore_carolina() (in module nnsa.models.evaluation)

G

G (nnsa.models.regressors.LinReg property) gammas (nnsa.decompositions.side_obsp.SideObsp property) (nnsa.decompositions.SideObsp property) (nnsa.SideObsp property) generate_af_data() (in module nnsa.utils.dummy_data) generate_eeg() (in module nnsa.utils.dummy_data) generate_timeseries() (in module nnsa.utils.dummy_data) generate_timeseries_AR1() (in module nnsa.utils.dummy_data) get_all_segments() (in module nnsa.utils.segmentation) get_bandpassfir_a_coefs() (in module nnsa.preprocessing.saved_filters) get_bin_edges() (in module nnsa.utils.arrays) get_channel() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) get_channel_index() (in module nnsa.feature_extraction.common) get_classes() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesCnnResult method) (nnsa.SleepStagesResult method) get_cnn_sleep_result() (in module nnsa.feature_extraction.sleep_stages) get_cum_freq_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_default_positions() (in module nnsa.visualization.eeg) get_dj() (nnsa.cwt.Mother static method) (nnsa.cwt.mothers.Mother static method) get_downsampled() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_eeg_fir_filter_a() (in module nnsa.preprocessing.saved_filters) get_filename() (in module nnsa.utils.paths) get_filepaths() (in module nnsa) (in module nnsa.utils.paths) get_filter() (in module nnsa.preprocessing.saved_filters) get_freq_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_hypnogram() (nnsa.SleepStagesRobustResult method) get_J() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) get_matlab_bandpassfir_coefs() (in module nnsa.preprocessing.saved_filters) get_max_scale() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) get_min_freq() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) get_min_scale() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) get_most_suppressed_period() (nnsa.feature_extraction.discontinuity.SuppressionCurve method)

get_naive_labels() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) get_non_artefact_masks() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) get_norm_pars() (in module nnsa.feature_extraction.brainagemodel.pretrained.prenorm) get_occurrence_count() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) get_onsets_offsets() (in module nnsa.utils.event_detections) get_output_dir() (in module nnsa) (in module nnsa.utils.paths) get_overlapping_annotations() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) get_phase_mask() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_probabilities() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) get_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_s0() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) get_segment_indices() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) get_segment_times() (in module nnsa.utils.segmentation) get_segments() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) get_significance() (nnsa.DynamicCouplingResult method) (nnsa.feature_extraction.dynamic_coupling.DynamicCouplingResult method) get_significance_mask() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_smoothed() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_text_times() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) get_time_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) get_uncorrelating_features() (in module nnsa.training.feature_selection) get_wavelet() (in module nnsa.cwt) (in module nnsa.cwt.mothers)

H

h (nnsa.decompositions.side_obsp.SideObsp property) (nnsa.decompositions.SideObsp property) (nnsa.SideObsp property) hilbert_envelope() (in module nnsa.feature_extraction.envelope)

histogram_features() (nnsa.feature_extraction.fractality.LineLengthResult method) (nnsa.LineLengthResult method) histogram_features_lll() (in module nnsa.feature_extraction.fractality) histogram_features_per_channel() (in module nnsa.utils.arrays) hmm_model (nnsa.SleepStagesRobust property)

I

ibi_id (nnsa.BurstDetectionResult property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) ibi_label (nnsa.BurstDetectionResult property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) IbiFeaturesResult (class in nnsa.feature_extraction.discontinuity) icwt() (in module nnsa.cwt) (in module nnsa.cwt.transforms) inception1d() (in module nnsa.keras.layers) inception2d() (in module nnsa.keras.layers) inception2dtranspose() (in module nnsa.keras.layers) IndexTracker (class in nnsa.utils.plotting) info (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.TimeSeries property) insert_annotations_and_save() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) insert_artefacts() (in module nnsa.utils.dummy_data) inter_class_intervals() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) interp() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) interp_nan() (in module nnsa.utils.arrays) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method)

interpolate_artefacts() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) interpolate_classes() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) interpolate_nan() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) iqr() (in module nnsa.utils.other) is_anonymized (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) is_clean_detector (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn property) (nnsa.CleanDetectorCnn property) is_discontinuous (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) is_discontinuous() (nnsa.feature_extraction.result.ResultBase method) (nnsa.ResultBase method) is_numeric() (in module nnsa.utils.other) is_synchronized() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) isempty() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) itemize_items() (in module nnsa.utils.dictionaries) items() (nnsa.feature_extraction.brainagemodel.core.config.Config method)

J

join() (nnsa.feature_extraction.brainagemodel.core.config.Config method)

K

kappa() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) keras_model (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) keras_model_activations (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) keras_model_latent (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property)

keys() (nnsa.feature_extraction.brainagemodel.core.config.Config method) kfold_generator() (in module nnsa.training.cross_validation) kirubin_features() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) kl_loss() (in module nnsa.keras.losses)

L

label (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.TimeSeries property) LambdaBetaUpdateCallback (class in nnsa.keras.callbacks) layer_block() (in module nnsa.keras.layers) line_length() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.fractality.LineLength method) (nnsa.LineLength method) (nnsa.TimeSeries method) line_length_burst_detection() (nnsa.BurstDetection static method) (nnsa.feature_extraction.discontinuity.BurstDetection static method)

LineLength (class in nnsa) (class in nnsa.feature_extraction.fractality) LineLengthResult (class in nnsa) (class in nnsa.feature_extraction.fractality) LinReg (class in nnsa.models.regressors) list_attrs() (in module nnsa) (in module nnsa.utils.objects) list_methods() (in module nnsa) (in module nnsa.utils.objects) load_points() (nnsa.utils.plotting.PointPicker method) local_to_global_features() (in module nnsa.feature_extraction.common) logical_and() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) logical_or() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method)

M

mag2db() (in module nnsa.utils.mathematics) make_stars() (in module nnsa.stats.utils) match_correlation() (in module nnsa.utils.dummy_data) match_shapes() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) matrix_cofactor() (in module nnsa.utils.mathematics) maximize_figure() (in module nnsa.utils) (in module nnsa.utils.plotting) maximum_mse() (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.MultiScaleEntropyResult method) mean() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) mean_std_duration_per_class() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) mean_var_loss() (in module nnsa.keras.losses) median() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) median_duration() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) median_iqr_duration_per_class() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) median_line_length (nnsa.feature_extraction.fractality.LineLengthResult property) (nnsa.LineLengthResult property) merge() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.result.ResultBase method) (nnsa.ResultBase method) (nnsa.TimeSeries method) merge_successive_texts() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) mfa_time_series() (nnsa.feature_extraction.fractality.MultifractalAnalysis method) (nnsa.MultifractalAnalysis method) mirror_boundaries() (in module nnsa.utils.arrays) mm2inch() (in module nnsa.utils.plotting) model (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn property) (nnsa.CleanDetectorCnn property) model_dir (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) model_path (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) model_settings (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn property) (nnsa.CleanDetectorCnn property) module nnsa nnsa.annotations nnsa.annotations.annotation nnsa.annotations.annotation_set nnsa.annotations.config nnsa.annotations.sleep_stages nnsa.artefacts nnsa.artefacts.artefact_detection nnsa.artefacts.clean_detector_cnn nnsa.config nnsa.containers nnsa.containers.datasets nnsa.containers.time_series nnsa.cwt nnsa.cwt.config nnsa.cwt.mothers nnsa.cwt.plotting nnsa.cwt.transforms nnsa.cwt.utils nnsa.decompositions nnsa.decompositions.fourier nnsa.decompositions.side_obsp nnsa.edfreadpy nnsa.edfreadpy.annotations nnsa.edfreadpy.annotations.annotation nnsa.edfreadpy.annotations.annotation_set nnsa.edfreadpy.anonymization nnsa.edfreadpy.anonymization.anonymization nnsa.edfreadpy.anonymization.config nnsa.edfreadpy.io nnsa.edfreadpy.io.config nnsa.edfreadpy.io.reader nnsa.edfreadpy.io.utils nnsa.feature_extraction nnsa.feature_extraction.aeeg nnsa.feature_extraction.brain_age nnsa.feature_extraction.brain_age_cnn nnsa.feature_extraction.brainagemodel nnsa.feature_extraction.brainagemodel.core nnsa.feature_extraction.brainagemodel.core.config nnsa.feature_extraction.brainagemodel.core.ensemblemodels nnsa.feature_extraction.brainagemodel.models nnsa.feature_extraction.brainagemodel.models.sincnetwork nnsa.feature_extraction.brainagemodel.pretrained nnsa.feature_extraction.brainagemodel.pretrained.convert nnsa.feature_extraction.brainagemodel.pretrained.models nnsa.feature_extraction.brainagemodel.pretrained.prenorm nnsa.feature_extraction.brainagemodel.pretrained.pretrainedsincmodel nnsa.feature_extraction.common nnsa.feature_extraction.connectivity nnsa.feature_extraction.correlation nnsa.feature_extraction.discontinuity nnsa.feature_extraction.dynamic_coupling nnsa.feature_extraction.entropy nnsa.feature_extraction.envelope nnsa.feature_extraction.feature_sets nnsa.feature_extraction.feature_sets.base nnsa.feature_extraction.feature_sets.eeg nnsa.feature_extraction.feature_sets.nirs nnsa.feature_extraction.feature_sets_old nnsa.feature_extraction.fractality nnsa.feature_extraction.frequency_analysis nnsa.feature_extraction.kernels nnsa.feature_extraction.result nnsa.feature_extraction.sleep_stages nnsa.feature_extraction.statistics nnsa.feature_extraction.time_domain nnsa.feature_extraction.wavelets nnsa.io nnsa.io.hdf5 nnsa.io.readers nnsa.io.routines nnsa.keras nnsa.keras.callbacks nnsa.keras.layers nnsa.keras.losses nnsa.keras.utils nnsa.models nnsa.models.conformal_prediction nnsa.models.evaluation nnsa.models.losses nnsa.models.regressors nnsa.parameters nnsa.parameters.parameters nnsa.preprocessing nnsa.preprocessing.combine_channels nnsa.preprocessing.data_cleaning nnsa.preprocessing.detrending nnsa.preprocessing.eeg nnsa.preprocessing.expansions nnsa.preprocessing.filter nnsa.preprocessing.normalization nnsa.preprocessing.resample nnsa.preprocessing.saved_filters nnsa.stats nnsa.stats.intervals nnsa.stats.paired nnsa.stats.partially_paired nnsa.stats.statistics nnsa.stats.surrogates nnsa.stats.utils nnsa.training nnsa.training.cross_validation nnsa.training.feature_importance nnsa.training.feature_selection nnsa.training.utils nnsa.utils nnsa.utils.arrays nnsa.utils.code_performance nnsa.utils.config nnsa.utils.conversions nnsa.utils.dataframes nnsa.utils.dictionaries nnsa.utils.dummy_data nnsa.utils.event_detections nnsa.utils.keras nnsa.utils.mathematics nnsa.utils.normalization nnsa.utils.objects nnsa.utils.other nnsa.utils.paths nnsa.utils.pkl nnsa.utils.plotting nnsa.utils.scalebars nnsa.utils.segmentation nnsa.utils.testing nnsa.visualization nnsa.visualization.eeg

MonteCarloDropout (class in nnsa.keras.utils) Morlet (class in nnsa.cwt) (class in nnsa.cwt.mothers) Mother (class in nnsa.cwt) (class in nnsa.cwt.mothers) moving_average() (in module nnsa.utils.arrays) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) moving_envelope() (in module nnsa) (in module nnsa.utils.arrays) moving_line_length() (in module nnsa) (in module nnsa.utils.arrays) moving_mad() (in module nnsa) (in module nnsa.utils.arrays) moving_max() (in module nnsa) (in module nnsa.utils.arrays) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) moving_mean() (in module nnsa) (in module nnsa.utils.arrays) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) moving_median() (in module nnsa) (in module nnsa.utils.arrays) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) moving_std() (in module nnsa) (in module nnsa.utils.arrays) MovingAverage (class in nnsa) (class in nnsa.preprocessing.filter) multi_scale_entropy() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.entropy.MultiScaleEntropy method) (nnsa.MultiScaleEntropy method) (nnsa.TimeSeries method) multifractal_analysis() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.fractality.MultifractalAnalysis method) (nnsa.MultifractalAnalysis method) (nnsa.TimeSeries method) MultifractalAnalysis (class in nnsa) (class in nnsa.feature_extraction.fractality) MultifractalAnalysisResult (class in nnsa) (class in nnsa.feature_extraction.fractality) MultiScaleEntropy (class in nnsa) (class in nnsa.feature_extraction.entropy) MultiScaleEntropyResult (class in nnsa) (class in nnsa.feature_extraction.entropy) myCategoricalCrossentropy() (in module nnsa.keras.losses) MyEarlyStopping (class in nnsa.keras.callbacks)

N

nan_to_num() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) nanfun() (in module nnsa.utils.arrays) NeatFIR (class in nnsa.preprocessing.filter) nested_update() (in module nnsa.utils.dictionaries) net() (in module nnsa.feature_extraction.brainagemodel.models.sincnetwork) nextpow2() (in module nnsa.utils.mathematics) nirs_features() (nnsa.containers.datasets.OxygenDataset method) nleo_burst_detection() (nnsa.BurstDetection static method) (nnsa.feature_extraction.discontinuity.BurstDetection static method) nnsa module nnsa.annotations module nnsa.annotations.annotation module nnsa.annotations.annotation_set module nnsa.annotations.config module nnsa.annotations.sleep_stages module nnsa.artefacts module nnsa.artefacts.artefact_detection module nnsa.artefacts.clean_detector_cnn module nnsa.config module nnsa.containers module nnsa.containers.datasets module nnsa.containers.time_series module nnsa.cwt module nnsa.cwt.config module nnsa.cwt.mothers module nnsa.cwt.plotting module nnsa.cwt.transforms module nnsa.cwt.utils module nnsa.decompositions module nnsa.decompositions.fourier module nnsa.decompositions.side_obsp module nnsa.edfreadpy module nnsa.edfreadpy.annotations module nnsa.edfreadpy.annotations.annotation module nnsa.edfreadpy.annotations.annotation_set module nnsa.edfreadpy.anonymization module nnsa.edfreadpy.anonymization.anonymization module nnsa.edfreadpy.anonymization.config module nnsa.edfreadpy.io module nnsa.edfreadpy.io.config module nnsa.edfreadpy.io.reader module nnsa.edfreadpy.io.utils module nnsa.feature_extraction module nnsa.feature_extraction.aeeg module nnsa.feature_extraction.brain_age module nnsa.feature_extraction.brain_age_cnn module nnsa.feature_extraction.brainagemodel module nnsa.feature_extraction.brainagemodel.core module nnsa.feature_extraction.brainagemodel.core.config module nnsa.feature_extraction.brainagemodel.core.ensemblemodels module nnsa.feature_extraction.brainagemodel.models module nnsa.feature_extraction.brainagemodel.models.sincnetwork module nnsa.feature_extraction.brainagemodel.pretrained module nnsa.feature_extraction.brainagemodel.pretrained.convert module nnsa.feature_extraction.brainagemodel.pretrained.models module nnsa.feature_extraction.brainagemodel.pretrained.prenorm module nnsa.feature_extraction.brainagemodel.pretrained.pretrainedsincmodel module nnsa.feature_extraction.common module nnsa.feature_extraction.connectivity module nnsa.feature_extraction.correlation module nnsa.feature_extraction.discontinuity module nnsa.feature_extraction.dynamic_coupling module nnsa.feature_extraction.entropy module nnsa.feature_extraction.envelope module nnsa.feature_extraction.feature_sets module nnsa.feature_extraction.feature_sets.base module nnsa.feature_extraction.feature_sets.eeg module nnsa.feature_extraction.feature_sets.nirs module nnsa.feature_extraction.feature_sets_old module nnsa.feature_extraction.fractality module nnsa.feature_extraction.frequency_analysis module nnsa.feature_extraction.kernels module nnsa.feature_extraction.result module nnsa.feature_extraction.sleep_stages module nnsa.feature_extraction.statistics module nnsa.feature_extraction.time_domain module nnsa.feature_extraction.wavelets module nnsa.io module nnsa.io.hdf5 module nnsa.io.readers module nnsa.io.routines module nnsa.keras module nnsa.keras.callbacks module nnsa.keras.layers module nnsa.keras.losses module nnsa.keras.utils module nnsa.models module

nnsa.models.conformal_prediction module nnsa.models.evaluation module nnsa.models.losses module nnsa.models.regressors module nnsa.parameters module nnsa.parameters.parameters module nnsa.preprocessing module nnsa.preprocessing.combine_channels module nnsa.preprocessing.data_cleaning module nnsa.preprocessing.detrending module nnsa.preprocessing.eeg module nnsa.preprocessing.expansions module nnsa.preprocessing.filter module nnsa.preprocessing.normalization module nnsa.preprocessing.resample module nnsa.preprocessing.saved_filters module nnsa.stats module nnsa.stats.intervals module nnsa.stats.paired module nnsa.stats.partially_paired module nnsa.stats.statistics module nnsa.stats.surrogates module nnsa.stats.utils module nnsa.training module nnsa.training.cross_validation module nnsa.training.feature_importance module nnsa.training.feature_selection module nnsa.training.utils module nnsa.utils module nnsa.utils.arrays module nnsa.utils.code_performance module nnsa.utils.config module nnsa.utils.conversions module nnsa.utils.dataframes module nnsa.utils.dictionaries module nnsa.utils.dummy_data module nnsa.utils.event_detections module nnsa.utils.keras module nnsa.utils.mathematics module nnsa.utils.normalization module nnsa.utils.objects module nnsa.utils.other module nnsa.utils.paths module nnsa.utils.pkl module nnsa.utils.plotting module nnsa.utils.scalebars module nnsa.utils.segmentation module nnsa.utils.testing module nnsa.visualization module nnsa.visualization.eeg module norm_param_path (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) normalization_parameters (nnsa.BrainAgeSinc property) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc property) (nnsa.feature_extraction.sleep_stages.SleepStagesCnn property) (nnsa.SleepStagesCnn property) normalize() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.frequency_analysis.PsdResult method) (nnsa.PsdResult method) (nnsa.TimeSeries method) normalize_eeg_channels() (in module nnsa.utils.normalization) normalize_input() (nnsa.models.regressors.DualRegression static method) normpars (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn property) (nnsa.CleanDetectorCnn property) notch_filt() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) NotchIIR (class in nnsa) (class in nnsa.preprocessing.filter) num_segments (nnsa.AmplitudeEegResult property) (nnsa.BrainAgeResult property) (nnsa.BurstDetectionResult property) (nnsa.CoherenceGraphResult property) (nnsa.DynamicCouplingResult property) (nnsa.EnvelopeResult property) (nnsa.feature_extraction.aeeg.AmplitudeEegResult property) (nnsa.feature_extraction.brain_age.BrainAgeResult property) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult property) (nnsa.feature_extraction.connectivity.CoherenceGraphResult property) (nnsa.feature_extraction.discontinuity.BurstDetectionResult property) (nnsa.feature_extraction.dynamic_coupling.DynamicCouplingResult property) (nnsa.feature_extraction.entropy.MultiScaleEntropyResult property) (nnsa.feature_extraction.envelope.EnvelopeResult property) (nnsa.feature_extraction.feature_sets.base.FeatureSetResult property) (nnsa.feature_extraction.fractality.LineLengthResult property) (nnsa.feature_extraction.fractality.MultifractalAnalysisResult property) (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult property) (nnsa.feature_extraction.frequency_analysis.PsdResult property) (nnsa.feature_extraction.result.ResultBase property) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult property) (nnsa.feature_extraction.sleep_stages.SleepStagesResult property) (nnsa.feature_extraction.statistics.SignalStatsResult property) (nnsa.feature_extraction.wavelets.CWTResult property) (nnsa.feature_extraction.wavelets.WaveletResult property) (nnsa.FeatureSetResult property) (nnsa.LineLengthResult property) (nnsa.MultifractalAnalysisResult property) (nnsa.MultiScaleEntropyResult property) (nnsa.PowerAnalysisResult property) (nnsa.PsdResult property) (nnsa.ResultBase property) (nnsa.SignalStatsResult property) (nnsa.SleepStagesCnnResult property) (nnsa.SleepStagesResult property) (nnsa.SleepStagesRobustResult property) (nnsa.WaveletResult property)

O

offset (nnsa.Annotation property) (nnsa.annotations.Annotation property) (nnsa.annotations.annotation.Annotation property) (nnsa.edfreadpy.annotations.annotation.Annotation property) on_epoch_begin() (nnsa.keras.callbacks.BetaUpdateCallback method) on_epoch_end() (nnsa.keras.callbacks.LambdaBetaUpdateCallback method) (nnsa.keras.callbacks.MyEarlyStopping method) (nnsa.keras.callbacks.StopOnNanLoss method) on_train_batch_end() (nnsa.keras.callbacks.StopOnNanLoss method) on_train_begin() (nnsa.keras.callbacks.StopOnNanLoss method) on_train_end() (nnsa.keras.callbacks.StopOnNanLoss method) onpick() (nnsa.utils.plotting.PointPicker method) onscroll() (nnsa.utils.plotting.IndexTracker method) onset (nnsa.Annotation property) (nnsa.annotations.Annotation property) (nnsa.annotations.annotation.Annotation property) (nnsa.edfreadpy.annotations.annotation.Annotation property)

onsets() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) opt_pooled_ttest() (in module nnsa.stats.partially_paired) order (nnsa.decompositions.side_obsp.SideObsp property) (nnsa.decompositions.SideObsp property) (nnsa.SideObsp property) otoole_burst_detection() (nnsa.BurstDetection static method) (nnsa.feature_extraction.discontinuity.BurstDetection static method) OxygenDataset (class in nnsa.containers.datasets)

P

pair_separation_scores() (in module nnsa.utils.dataframes) pairplot() (in module nnsa.utils.dataframes) pairplot_best() (in module nnsa.utils.dataframes) Parameters (class in nnsa) (class in nnsa.parameters.parameters) Paul (class in nnsa.cwt) (class in nnsa.cwt.mothers) pca() (in module nnsa.utils.dataframes) pct() (in module nnsa.cwt) (in module nnsa.cwt.transforms) (nnsa.feature_extraction.wavelets.WaveletCoherence method) (nnsa.WaveletCoherence method) pickle_load() (in module nnsa.utils.pkl) pickle_save() (in module nnsa.utils.pkl) pieplot() (in module nnsa.utils.plotting) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) plot() (nnsa.AmplitudeEegResult method) (nnsa.BaseDataset method) (nnsa.BrainAgeResult method) (nnsa.BurstDetectionResult method) (nnsa.CoherenceGraphResult method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.DynamicCouplingResult method) (nnsa.EegDataset method) (nnsa.EnvelopeResult method) (nnsa.feature_extraction.aeeg.AmplitudeEegResult method) (nnsa.feature_extraction.brain_age.BrainAgeResult method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult method) (nnsa.feature_extraction.connectivity.CoherenceGraphResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) (nnsa.feature_extraction.dynamic_coupling.DynamicCouplingResult method) (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) (nnsa.feature_extraction.fractality.LineLengthResult method) (nnsa.feature_extraction.fractality.MultifractalAnalysisResult method) (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult method) (nnsa.feature_extraction.frequency_analysis.PsdResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.feature_extraction.wavelets.CWTResult method) (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.LineLengthResult method) (nnsa.MultifractalAnalysisResult method) (nnsa.MultiScaleEntropyResult method) (nnsa.PowerAnalysisResult method) (nnsa.PsdResult method) (nnsa.SleepStagesCnnResult method) (nnsa.SleepStagesResult method) (nnsa.SleepStagesRobustResult method) (nnsa.TimeSeries method) (nnsa.WaveletResult method) plot_column_data() (in module nnsa.utils.dataframes) plot_complex_freq_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_cum_freq_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_cwt_scalogram() (in module nnsa.cwt) (in module nnsa.cwt.plotting) plot_freq_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_frequency_response() (nnsa.FilterBase method) (nnsa.preprocessing.filter.FilterBase method) plot_hypnogram() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) plot_impulse_response() (nnsa.FilterBase method) (nnsa.preprocessing.filter.FilterBase method) plot_mask() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) plot_phase() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_phase_discrete() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_probabilities() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) plot_probability() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) plot_scalogram() (in module nnsa.cwt) (in module nnsa.cwt.plotting) (nnsa.feature_extraction.wavelets.CWTResult method) (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_signals() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) plot_significance() (nnsa.DynamicCouplingResult method) (nnsa.feature_extraction.dynamic_coupling.DynamicCouplingResult method)

plot_tf_map() (in module nnsa.cwt) (in module nnsa.cwt.plotting) plot_time_profile() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) PointPicker (class in nnsa.utils.plotting) points (nnsa.utils.plotting.PointPicker property) power_analysis() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.feature_extraction.frequency_analysis.PowerAnalysis method) (nnsa.PowerAnalysis method) (nnsa.TimeSeries method) power_envelope() (in module nnsa.feature_extraction.envelope) PowerAnalysis (class in nnsa) (class in nnsa.feature_extraction.frequency_analysis) PowerAnalysisResult (class in nnsa) (class in nnsa.feature_extraction.frequency_analysis) pre_normalize() (in module nnsa.feature_extraction.brainagemodel.pretrained.prenorm) precision() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) predict() (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn method) (nnsa.CleanDetectorCnn method) (nnsa.feature_extraction.brainagemodel.core.ensemblemodels.EnsembleModels method) (nnsa.models.regressors.DualRegression method) (nnsa.models.regressors.LinReg method) predict_activations() (nnsa.feature_extraction.sleep_stages.SleepStagesCnn method) (nnsa.SleepStagesCnn method) prediction_interval() (in module nnsa.stats.intervals) prepare_kaplan_meier() (nnsa.SleepStagesRobustResult method) prepare_postfix() (in module nnsa.feature_extraction.common) preprocess() (nnsa.BrainAgeSinc method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc method) preprocess_eeg() (nnsa.artefacts.clean_detector_cnn.CleanDetectorCnn static method) (nnsa.CleanDetectorCnn static method) preprocess_recording() (nnsa.feature_extraction.sleep_stages.SleepStagesCnn method) (nnsa.SleepStagesCnn method) preprocess_segment() (in module nnsa.feature_extraction.common) PretrainedSincModel (class in nnsa.feature_extraction.brainagemodel.pretrained.pretrainedsincmodel) print_all_annotations() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) print_annotation() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) print_efficiency() (in module nnsa.utils) (in module nnsa.utils.code_performance) print_exception_info() (in module nnsa) (in module nnsa.utils.other) print_init_message() (in module nnsa.feature_extraction.common) print_object_summary() (in module nnsa) (in module nnsa.utils.objects) process() (nnsa.AmplitudeEeg method) (nnsa.BrainAgeSinc method) (nnsa.CoherenceGraph method) (nnsa.DynamicCoupling method) (nnsa.feature_extraction.aeeg.AmplitudeEeg method) (nnsa.feature_extraction.brain_age.BrainAge method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeSinc method) (nnsa.feature_extraction.connectivity.CoherenceGraph method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling method) (nnsa.feature_extraction.fractality.LineLength method) (nnsa.feature_extraction.frequency_analysis.Psd method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnn method) (nnsa.feature_extraction.wavelets.CWT method) (nnsa.LineLength method) (nnsa.Psd method) (nnsa.SleepStagesCnn method) (nnsa.SleepStagesRobust method) proportion() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) Psd (class in nnsa) (class in nnsa.feature_extraction.frequency_analysis) psd() (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.frequency_analysis.Psd method) (nnsa.Psd method) (nnsa.TimeSeries method) PsdResult (class in nnsa) (class in nnsa.feature_extraction.frequency_analysis) psi() (nnsa.cwt.mothers.Paul method) (nnsa.cwt.Paul method) psi_ft() (nnsa.cwt.Morlet method) (nnsa.cwt.mothers.Morlet method)

Q

q (nnsa.feature_extraction.fractality.MultifractalAnalysisResult property) (nnsa.MultifractalAnalysisResult property)

quantile_loss() (in module nnsa.keras.losses)

R

read_annotation_set_KL() (in module nnsa) (in module nnsa.io.routines) read_annotation_set_preterm() (in module nnsa) (in module nnsa.io.routines) read_annotations() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) read_begin_end_time() (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.EegDataset static method) read_bp_dataset() (nnsa.EdfReader method) (nnsa.io.readers.EdfReader method) read_dataframe() (in module nnsa.utils.dataframes) read_dict_from_hdf5() (in module nnsa.io.hdf5) read_edf() (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.EegDataset static method) read_eeg_dataset() (nnsa.EdfReader method) (nnsa.io.readers.EdfReader method) read_file() (nnsa.feature_extraction.result.ResultBase static method) (nnsa.ResultBase static method) read_hdf5() (nnsa.BaseDataset static method) (nnsa.containers.datasets.BaseDataset static method) (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.containers.time_series.TimeSeries static method) (nnsa.containers.TimeSeries static method) (nnsa.EegDataset static method) (nnsa.TimeSeries static method) read_mat() (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.containers.time_series.TimeSeries static method) (nnsa.containers.TimeSeries static method) (nnsa.EegDataset static method) (nnsa.TimeSeries static method) read_pickle() (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.containers.time_series.TimeSeries static method) (nnsa.containers.TimeSeries static method) (nnsa.EegDataset static method) (nnsa.TimeSeries static method) read_result_from_file() (in module nnsa) (in module nnsa.feature_extraction.result) read_rso2_dataset() (nnsa.EdfReader method) (nnsa.io.readers.EdfReader method) read_set() (nnsa.containers.datasets.EegDataset static method) (nnsa.containers.EegDataset static method) (nnsa.EegDataset static method) read_signal() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) read_spo2_dataset() (nnsa.EdfReader method) (nnsa.io.readers.EdfReader method) read_temperature() (nnsa.EdfReader method) (nnsa.io.readers.EdfReader method) read_time_series() (nnsa.EdfReader method) (nnsa.io.readers.EdfReader method) reconstruct_x() (in module nnsa.cwt) (in module nnsa.cwt.utils) reference() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) regplots() (in module nnsa.utils.dataframes) regr_conformal_score() (in module nnsa.models.conformal_prediction) regularization_loss() (in module nnsa.models.losses) RemezFIR (class in nnsa) (class in nnsa.preprocessing.filter) remezord() (in module nnsa.preprocessing.filter) remove() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) remove_artefact_channels() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_artefacts() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.OxygenDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) (nnsa.TimeSeries method)

remove_artefacts_amplitude() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_artefacts_derivative() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_artefacts_kota() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_artefacts_mask() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_artefacts_method() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_artefacts_rfc() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) remove_channel() (nnsa.feature_extraction.entropy.MultiScaleEntropyResult method) (nnsa.MultiScaleEntropyResult method) remove_corrupted_stages() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) remove_flatlines() (in module nnsa.artefacts.artefact_detection) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) remove_neighborhood_artefacts() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) remove_outliers() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) remove_short_stages() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) remove_ticks() (in module nnsa.utils.plotting) remove_unreliabilities() (nnsa.BrainAgeResult method) (nnsa.feature_extraction.brain_age.BrainAgeResult method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult method) remove_values() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) replace_in_range() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) replace_text_by_index() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) replace_texts() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) resample() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) resample_by_filtering() (in module nnsa.preprocessing.resample) resample_by_interpolation() (in module nnsa.preprocessing.resample) reset_annotations_and_save() (nnsa.edfreadpy.EdfReader method) (nnsa.edfreadpy.io.reader.EdfReader method) ResultBase (class in nnsa) (class in nnsa.feature_extraction.result) revert_freq_scale() (in module nnsa.feature_extraction.wavelets) revert_time_scale() (in module nnsa.utils.conversions) robust_fba() (nnsa.BrainAgeResult method) (nnsa.feature_extraction.brain_age.BrainAgeResult method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult method) robust_sleep_labels() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) roc_auc_score() (in module nnsa.models.evaluation)

S

SADLoss() (in module nnsa.keras.losses) sample_entropy() (in module nnsa.feature_extraction.entropy) Sampling (class in nnsa.keras.layers) save_csv() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) save_fig_as() (in module nnsa.utils.plotting) save_hdf5() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) save_mat() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) save_pickle() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.EegDataset method) (nnsa.TimeSeries method) save_points() (nnsa.utils.plotting.PointPicker method) save_to_file() (nnsa.feature_extraction.result.ResultBase method) (nnsa.ResultBase method) scal2freq() (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Mother method) scale_figsize() (in module nnsa.utils.plotting) scales (nnsa.feature_extraction.entropy.MultiScaleEntropyResult property) (nnsa.feature_extraction.wavelets.WaveletResult property) (nnsa.MultiScaleEntropyResult property) (nnsa.WaveletResult property) scatter_paired() (in module nnsa.utils.dataframes) scores_general() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) scores_per_class() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) segment() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) segment_end_times (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) segment_generator() (in module nnsa.utils.segmentation) segment_labels() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) segment_length (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) (nnsa.SleepStagesRobust property) segment_start_times (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) segment_times (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) select_features() (in module nnsa.training.feature_selection) select_features_rfr() (in module nnsa.training.feature_selection) select_path() (in module nnsa.utils.paths) sensitivity() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) separation_score() (in module nnsa.models.evaluation) set_plot_style() (in module nnsa.utils.plotting) set_time_offset() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) setup_tf() (in module nnsa.keras.utils) (in module nnsa.utils.keras) shade() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) shade_axis() (in module nnsa.utils.plotting) (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.BurstDetectionResult method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) shape (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) SideObsp (class in nnsa) (class in nnsa.decompositions) (class in nnsa.decompositions.side_obsp) signal (nnsa.containers.datasets.EegDataset property) (nnsa.containers.EegDataset property) (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.EegDataset property) (nnsa.TimeSeries property) signal_headers (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) signal_quality() (in module nnsa.artefacts.artefact_detection) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) signal_stats() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.feature_extraction.statistics.SignalStats method) (nnsa.SignalStats method)

SignalStats (class in nnsa) (class in nnsa.feature_extraction.statistics) SignalStatsResult (class in nnsa) (class in nnsa.feature_extraction.statistics) sinc2d() (in module nnsa.keras.layers) size (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) sleep_label_column (nnsa.SleepStagesRobustResult property) sleep_stages() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.feature_extraction.sleep_stages.SleepStages method) (nnsa.SleepStages method) sleep_stages_cnn (nnsa.SleepStagesRobust property) sleep_stages_cnn() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnn method) (nnsa.SleepStagesCnn method) sleep_stages_robust() (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) SleepStages (class in nnsa) (class in nnsa.feature_extraction.sleep_stages) SleepStagesCnn (class in nnsa) (class in nnsa.feature_extraction.sleep_stages) SleepStagesCnnResult (class in nnsa) (class in nnsa.feature_extraction.sleep_stages) SleepStagesResult (class in nnsa) (class in nnsa.feature_extraction.sleep_stages) SleepStagesRobust (class in nnsa) SleepStagesRobustResult (class in nnsa) smooth() (nnsa.cwt.Morlet method) (nnsa.cwt.Mother method) (nnsa.cwt.mothers.Morlet method) (nnsa.cwt.mothers.Mother method) sort() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) sos (nnsa.FilterBase property) (nnsa.preprocessing.filter.FilterBase property) specificity() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) split_data() (in module nnsa.training.utils) split_path() (in module nnsa.utils.paths) squeeze() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) standardize() (in module nnsa.utils.dataframes) standardize_and_check_ecg_label() (in module nnsa.edfreadpy.io.utils) standardize_and_check_eeg_label() (in module nnsa.edfreadpy.io.utils) standardize_and_check_label() (in module nnsa.edfreadpy.io.utils) standardize_annotation() (in module nnsa.annotations.sleep_stages) standardize_annotations() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) start_time() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) stepwise_moving_average() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) stepwise_reduce() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method) StopOnNanLoss (class in nnsa.keras.callbacks) strided_x() (in module nnsa.utils.arrays) stripboxplot() (in module nnsa) (in module nnsa.utils.plotting) subplot_rows_columns() (in module nnsa.utils) (in module nnsa.utils.plotting) substitute_bad_channels() (in module nnsa.preprocessing.data_cleaning) (nnsa.containers.datasets.EegDataset method) (nnsa.containers.EegDataset method) (nnsa.EegDataset method) subtract_offset() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) subtract_time() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) summary() (nnsa.feature_extraction.frequency_analysis.PowerAnalysisResult method) (nnsa.PowerAnalysisResult method) support() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) SuppressionCurve (class in nnsa.feature_extraction.discontinuity)

T

text (nnsa.Annotation property) (nnsa.annotations.Annotation property) (nnsa.annotations.annotation.Annotation property) (nnsa.edfreadpy.annotations.annotation.Annotation property) texts() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) tf (nnsa.FilterBase property) (nnsa.preprocessing.filter.FilterBase property) tf_dynamic_coupling() (nnsa.DynamicCoupling method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling method) theta (nnsa.models.regressors.DualRegression property) time (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) (nnsa.TimeSeries property) time_array (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.TimeSeries property) time_axis (nnsa.BrainAgeResult property) (nnsa.feature_extraction.brain_age.BrainAgeResult property) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult property) time_offset (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) (nnsa.feature_extraction.result.ResultBase property) (nnsa.ResultBase property) time_series (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) time_threshold() (in module nnsa.utils.event_detections) Timer (class in nnsa.utils.code_performance) TimeSeries (class in nnsa) (class in nnsa.containers) (class in nnsa.containers.time_series) to_aggregate_result() (nnsa.BurstDetectionResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) to_annotation_set() (nnsa.BurstDetectionResult method) (nnsa.feature_extraction.discontinuity.BurstDetectionResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) to_annotation_set_per_segment() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) to_base_dataset() (nnsa.EnvelopeResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) to_complex() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method) to_dataframe() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesCnnResult method) (nnsa.SleepStagesResult method)

to_df() (nnsa.annotations.annotation_set.AnnotationSet method) (nnsa.annotations.AnnotationSet method) (nnsa.AnnotationSet method) (nnsa.BrainAgeResult method) (nnsa.edfreadpy.annotations.annotation_set.AnnotationSet method) (nnsa.feature_extraction.brain_age.BrainAgeResult method) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult method) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) to_eeg_dataset() (nnsa.EnvelopeResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) to_file() (nnsa.feature_extraction.result.ResultBase method) (nnsa.ResultBase method) to_frame() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) to_sleep_stages_result() (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult method) (nnsa.SleepStagesCnnResult method) to_suppression_curve() (nnsa.feature_extraction.fractality.LineLengthResult method) (nnsa.LineLengthResult method) to_time_series() (nnsa.AmplitudeEegResult method) (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.DynamicCouplingResult method) (nnsa.EnvelopeResult method) (nnsa.feature_extraction.aeeg.AmplitudeEegResult method) (nnsa.feature_extraction.dynamic_coupling.DynamicCouplingResult method) (nnsa.feature_extraction.envelope.EnvelopeResult method) (nnsa.feature_extraction.fractality.LineLengthResult method) (nnsa.LineLengthResult method) to_wavelet_power() (nnsa.feature_extraction.wavelets.CWTResult method) topoplot() (in module nnsa.visualization.eeg) total_duration (nnsa.edfreadpy.EdfReader property) (nnsa.edfreadpy.io.reader.EdfReader property) (nnsa.feature_extraction.sleep_stages.SleepStagesResult property) (nnsa.SleepStagesResult property) total_duration_per_class() (nnsa.feature_extraction.sleep_stages.SleepStagesResult method) (nnsa.SleepStagesResult method) transform() (nnsa.BaseDataset method) (nnsa.containers.datasets.BaseDataset method) (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.decompositions.side_obsp.SideObsp method) (nnsa.decompositions.SideObsp method) (nnsa.SideObsp method) (nnsa.TimeSeries method) true_negatives() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method) true_positives() (nnsa.ConfusionMatrix method) (nnsa.models.evaluation.ConfusionMatrix method)

U

unflatten_dict() (in module nnsa.utils.dictionaries) unit (nnsa.BaseDataset property) (nnsa.containers.datasets.BaseDataset property) (nnsa.containers.time_series.TimeSeries property) (nnsa.containers.TimeSeries property) (nnsa.TimeSeries property)

update() (nnsa.Parameters method) (nnsa.parameters.parameters.Parameters method) (nnsa.utils.plotting.IndexTracker method) update_coi() (nnsa.feature_extraction.wavelets.WaveletResult method) (nnsa.WaveletResult method)

W

W (nnsa.feature_extraction.wavelets.WaveletResult property) (nnsa.WaveletResult property) wavelet (nnsa.feature_extraction.wavelets.CWTResult property) (nnsa.feature_extraction.wavelets.WaveletResult property) (nnsa.WaveletResult property) wavelet_coherence() (nnsa.feature_extraction.wavelets.WaveletCoherence method) (nnsa.WaveletCoherence method) WaveletCoherence (class in nnsa) (class in nnsa.feature_extraction.wavelets) WaveletCoherenceResult (class in nnsa) (class in nnsa.feature_extraction.wavelets) WaveletResult (class in nnsa) (class in nnsa.feature_extraction.wavelets)

wbtf_dynamic_coupling() (nnsa.DynamicCoupling method) (nnsa.feature_extraction.dynamic_coupling.DynamicCoupling method) wct() (in module nnsa.cwt) (in module nnsa.cwt.transforms) (nnsa.feature_extraction.wavelets.WaveletCoherence method) (nnsa.WaveletCoherence method) wfbmesti() (in module nnsa.feature_extraction.fractality) wilcoxon() (in module nnsa.stats.paired) WinFIR (class in nnsa) (class in nnsa.preprocessing.filter) Wp (nnsa.feature_extraction.wavelets.CWTResult property) wps() (nnsa.feature_extraction.wavelets.CWTResult method) write_dict_to_csv_as_table() (in module nnsa.utils.dictionaries) write_dict_to_hdf5() (in module nnsa.io.hdf5)

X

xpoints (nnsa.utils.plotting.PointPicker property)

xwt_smooth() (in module nnsa.cwt) (in module nnsa.cwt.transforms)

Y

y_pred (nnsa.BrainAgeResult property) (nnsa.feature_extraction.brain_age.BrainAgeResult property) (nnsa.feature_extraction.brain_age_cnn.BrainAgeResult property) (nnsa.feature_extraction.sleep_stages.SleepStagesCnnResult property) (nnsa.SleepStagesCnnResult property)

ypoints (nnsa.utils.plotting.PointPicker property)

Z

zscore() (nnsa.containers.time_series.TimeSeries method) (nnsa.containers.TimeSeries method) (nnsa.TimeSeries method)