bands_power             Computes spectral power 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.
detect_rpeaks           Detects R peaks in raw ECG signal.
epochs                  Split signals into a list of epochs according
                        to an events dataframe or an epoch duration.
example_ecg_200hz       Sample electrocardiogram signal
example_hypnogram_30s   Example hypnogram scored on 30 seconds.
hypnogram               Filter and reorder an events dataframe to keep
                        only sleep stages related-events.
normalize_cycles        Normalize sleep cycles scored on Noxturnal
                        software from start and stop flags to unique
                        events.
plot_hypnogram          Draw a hypnogram with ggplot2.
psm                     Power spectral density using adaptive sine
                        multitaper.
pwelch                  Power spectral density using Welch's method.
read_events_noxturnal   Read a Noxturnal events file (Unicode CSV
                        format)
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.
spectrogram             Plot the spectrogram of signal.
stages_stats            Get stages events related stats in a named
                        vector.
write_channel           Write a timeserie to disk using Morpheo Data
                        Format (MDF) guidelines.
write_mdf               Write a European Data Format (EDF) record file
                        to disk using Morpheo Data Format (MDF)
                        guidelines. Target directory is erased if it
                        already exists. Signals are stored in binary
                        file, events and metadata in JavaScript Object
                        Notation (JSON) files.
