Function reference • rsleep

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`a7()`	A7 spindle detection algorithm
`adanorm()`	Adaptive Normalization of a Signal
`bandpass()`	Bandpass Filter Function
`bands_psd()`	Compute power spectral density of bands listed in the bands argument.
`chambon2018()`	Deep Learning Architecture for Temporal Sleep Stage Classification model implementation in Keras.
`check_events()`	Check events dataframe format compliance.
`choi2018()`	Convolutional neural network for real-time apnea-hypopnea event detection during sleep
`ckappa()`	Computes Cohen's Kappa for agreement in the case of 2 raters.
`clean_oximetry()`	Clean Oximetry Signal
`create_xts()`	Create an XTS Object from Resampled Signals
`detect_apneic_events()`	Detect Apneic Events in SpO2 Signal Data
`detect_rem()`	Detection of Rapid-Eye Movements (REMs)
`detect_rpeaks()`	Detect R peaks in a raw ECG signal.
`epochs()`	Split signals into consecutive, non-overlaping epochs according to an events dataframe or an epoch duration.
`hypnogram()`	Filter and reorder an events dataframe or a hypnodensity to keep only sleep stages related-events.
`normalize_cycles()`	Normalize sleep cycles scored on Noxturnal software from start and stop flags to unique events.
`periods()`	Get a dataframe of sleep periods from a hypnogram, continuous or by stages.
`plot_event()`	Highlight a scored event over a signal.
`plot_hypnodensity()`	Plot a hypnodensity graph.
`plot_hypnogram()`	Plot a hypnogram from an events dataframe.
`psm()`	Power spectral density using adaptive sine multitaper.
`pwelch()`	Power spectral density using Welch's method.
`read_events_compumedics()`	Read a stages export from Compumedics software in .txt format.
`read_events_ndb()`	Read events from a Resmed Noxturnal .ndb file.
`read_events_noxturnal()`	Read a Noxturnal events file (Unicode CSV format)
`read_events_profusion()`	Read a annotation file from Compumedics Profusion software in XML format.
`read_events_sleepedfx()`	Read a SleepEDFX events file EDF+
`read_mdf()`	Read a Morpheo Data Format (MDF) directory to a list.
`schwabedal2018()`	Automated Classification of Sleep Stages in Mice with Deep Learning model implementation in Keras.
`score_mice()`	Score mice sleep from European Data Format (EDF) files.
`score_psg()`	Score 30 seconds epochs from European Data Format (EDF) files.
`segmentation()`	Split signals into consecutive, overlapping segments.
`smooth_hypnogram()`	Smooth hypnogram epoch, simulating human scorers behaviour.
`smooth_liang2012()`	Smooth hypnogram according to the 11 rules described by Liang & Al.
`spectrogram()`	Plot the spectrogram of signal.
`stages_stats()`	Get stages related statistics in a named vector.
`train_batches()`	Trains a model from files batches.
`transitions()`	Count and format stages transitions.
`tst90()`	Compute TST90, the percentage of time during sleep with an oxygen saturation below 90.
`write_batches_mice()`	Write batches from mice records
`write_batches_psg()`	Generates files batches from PSG data.
`write_channel()`	Write a timeserie to disk using Morpheo Data Format (MDF) guidelines.
`write_hypnogram_compumedics()`	Write a XML file containing scored stages for Compumedics software.
`write_mdf()`	Write a European Data Format (EDF) record file to disk using Morpheo Data Format (MDF) guidelines

Reference

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