A python toolbox for sleep researchers. Plot hypnograms, spectrograms, confusion matrices, PSG summaries

Hypnogram summary
{'TRT': 460.5,
 'TST': 444.5,
 'WASO': 16.0,
 'lat_REM': 65.0,
 'lat_S1': 0.0,
 'lat_S2': 2.0,
 'lat_S3': 9.0,
 'min_REM': 109.5,
 'min_S1': 13.5,
 'min_S2': 214.0,
 'min_S3': 107.5,
 'perc_REM': 0.24634420697412823,
 'perc_S1': 0.030371203599550055,
 'perc_S2': 0.4814398200224972,
 'perc_S3': 0.24184476940382452,
 'perc_W': 0.03474484256243214,
 'recording_length': 547.0,
 'sleep_offset_after_rec_start': 534.0,
 'sleep_onset_after_rec_start': 73.5}

pip install sleep-utils

or

pip install git+https://github.com/skjerns/sleep-utils

import sleep_utils

• hypnograms

  • load (sleep_utils.read_hypno(file))

  • save(sleep_utils.write_hypno(hypno, file)

  • plot (sleep_utils.plot_hypnogram(hypno))

  • convert (read&save)

  • print summary (TST, WASO, ...) (sleep_utils.hypno_summary(hypno))

• spectrograms

  • multitaper spectrogram (sleep_utils.specgram_multitaper(data, sfreq))

  • welch spectrogram(sleep_utils.specgram_welch(data, sfreq))

• confusion matrix

  • plot inter rater confusion matrix (sleep_utils.plot_confusion_matrix(confmat))

• mne-edf

  • save MNE to edf (sleep_utils.write_mne_edf(raw, filename))