AUTHOR=Talukder Amlan , Li Yuanyuan , Yeung Deryck , Umbach David M. , Fan Zheng , Li Leping 

TITLE=SSAVE: A tool for analysis and visualization of sleep periods using electroencephalography data

JOURNAL=Frontiers in Sleep

VOLUME=2

YEAR=2023

URL=https://www.frontiersin.org/journals/sleep/articles/10.3389/frsle.2023.1102391

DOI=10.3389/frsle.2023.1102391

ISSN=2813-2890

ABSTRACT=<p>Human sleep architecture is structured with repeated episodes of rapid-eye-movement (REM) and non-rapid-eye-movement (NREM) sleep. An overnight sleep study facilitates identification of macro and micro changes in the pattern and duration of sleep stages associated with sleep disorders and other aspects of human mental and physical health. Overnight sleep studies record, in addition to electroencephalography (EEG) and other electro-physiological signals, a sequence of sleep-stage annotations. <italic>SSAVE</italic>, introduced here, is open-source software that takes sleep-stage annotations and EEG signals as input, identifies and characterizes periods of NREM and REM sleep, and produces a hypnogram and its time-matched EEG spectrogram. <italic>SSAVE</italic> fills an important gap for the rapidly growing field of sleep medicine by providing an easy-to-use tool for sleep-period identification and visualization. <italic>SSAVE</italic> can be used as a Python package, a desktop standalone tool or through a web portal. All versions of the <italic>SSAVE</italic> tool can be found on: <ext-link ext-link-type="uri" xlink:href="https://manticore.niehs.nih.gov/ssave" xmlns:xlink="http://www.w3.org/1999/xlink">https://manticore.niehs.nih.gov/ssave</ext-link>.</p>