transitions: Count and format stages transitions.train_batches: Trains a model from files batches.stages_stats: Get stages related statistics in a named vector.spectrogram: Plot the spectrogram of signal.smooth_liang2012: Smooth hypnogram according to the 11 rules described by Liang.smooth_hypnogram: Smooth hypnogram epoch, simulating human scorers behaviour.segmentation: Split signals into consecutive, overlapping segments.score_psg: Score 30 seconds epochs from European Data Format (EDF).score_mice: Score mice sleep from European Data Format (EDF) files.schwabedal2018: Automated Classification of Sleep Stages in Mice with Deep.read_mdf: Read a Morpheo Data Format (MDF) directory to a list.read_events_sleepedfx: Read a SleepEDFX events file EDF+.read_events_profusion: Read a annotation file from Compumedics Profusion software in. read_events_noxturnal: Read a Noxturnal events file (Unicode CSV format).read_events_ndb: Read events from a Resmed Noxturnal.read_events_compumedics: Read a stages export from Compumedics software in.pwelch: Power spectral density using Welch's method.psm: Power spectral density using adaptive sine multitaper.plot_hypnogram: Plot a hypnogram from an events dataframe.plot_hypnodensity: Plot a hypnodensity graph.plot_event: Highlight a scored event over a signal.periods: Get a dataframe of sleep periods from a hypnogram, continuous.normalize_cycles: Normalize sleep cycles scored on Noxturnal software from.hypnogram: Filter and reorder an events dataframe or a hypnodensity to.epochs: Split signals into consecutive, non-overlaping epochs.detect_rpeaks: Detect R peaks in a raw ECG signal.ckappa: Computes Cohen's Kappa for agreement in the case of 2 raters.choi2018: Convolutional neural network for real-time apnea-hypopnea.check_events: Check events dataframe format compliance.chambon2018: Deep Learning Architecture for Temporal Sleep Stage.bands_psd: Compute power spectral density of bands listed in the bands.
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