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SSAVE: A tool for analysis and visualization of sleep periods using electroencephalography data.
Talukder, Amlan; Li, Yuanyuan; Yeung, Deryck; Umbach, David M; Fan, Zheng; Li, Leping.
Afiliação
  • Talukder A; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, RTP, NC, United States.
  • Li Y; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, RTP, NC, United States.
  • Yeung D; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, RTP, NC, United States.
  • Umbach DM; Department of Engineering Science, Trinity University, San Antonio, TX, United States.
  • Fan Z; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, RTP, NC, United States.
  • Li L; Division of Sleep Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Front Sleep ; 22023.
Article em En | MEDLINE | ID: mdl-37476396
ABSTRACT
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. SSAVE, 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. SSAVE 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. SSAVE can be used as a Python package, a desktop standalone tool or through a web portal. All versions of the SSAVE tool can be found on https//manticore.niehs.nih.gov/ssave.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Sleep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Sleep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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