An open-source, high-performance tool for automated sleep staging

The clinical and societal measurement of human sleep has increased exponentially in recent years. However, unlike other fields of medical analysis that have become highly automated, basic and clinical sleep research still relies on human visual scoring. Such human-based evaluations are time-consumin...

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Autores principales:	Raphael Vallat, Matthew P Walker
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	automated sleep staging machine-learning sleep scoring algorithm YASA NREM sleep Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/abfae7faa3ab42f589673a61cbdbe05c
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spelling	oai:doaj.org-article:abfae7faa3ab42f589673a61cbdbe05c2021-11-30T11:41:33ZAn open-source, high-performance tool for automated sleep staging10.7554/eLife.700922050-084Xe70092https://doaj.org/article/abfae7faa3ab42f589673a61cbdbe05c2021-10-01T00:00:00Zhttps://elifesciences.org/articles/70092https://doaj.org/toc/2050-084XThe clinical and societal measurement of human sleep has increased exponentially in recent years. However, unlike other fields of medical analysis that have become highly automated, basic and clinical sleep research still relies on human visual scoring. Such human-based evaluations are time-consuming, tedious, and can be prone to subjective bias. Here, we describe a novel algorithm trained and validated on +30,000 hr of polysomnographic sleep recordings across heterogeneous populations around the world. This tool offers high sleep-staging accuracy that matches human scoring accuracy and interscorer agreement no matter the population kind. The software is designed to be especially easy to use, computationally low-demanding, open source, and free. Our hope is that this software facilitates the broad adoption of an industry-standard automated sleep staging software package.Raphael VallatMatthew P WalkereLife Sciences Publications Ltdarticleautomated sleep stagingmachine-learningsleep scoringalgorithmYASANREM sleepMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	automated sleep staging machine-learning sleep scoring algorithm YASA NREM sleep Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	automated sleep staging machine-learning sleep scoring algorithm YASA NREM sleep Medicine R Science Q Biology (General) QH301-705.5 Raphael Vallat Matthew P Walker An open-source, high-performance tool for automated sleep staging
description	The clinical and societal measurement of human sleep has increased exponentially in recent years. However, unlike other fields of medical analysis that have become highly automated, basic and clinical sleep research still relies on human visual scoring. Such human-based evaluations are time-consuming, tedious, and can be prone to subjective bias. Here, we describe a novel algorithm trained and validated on +30,000 hr of polysomnographic sleep recordings across heterogeneous populations around the world. This tool offers high sleep-staging accuracy that matches human scoring accuracy and interscorer agreement no matter the population kind. The software is designed to be especially easy to use, computationally low-demanding, open source, and free. Our hope is that this software facilitates the broad adoption of an industry-standard automated sleep staging software package.
format	article
author	Raphael Vallat Matthew P Walker
author_facet	Raphael Vallat Matthew P Walker
author_sort	Raphael Vallat
title	An open-source, high-performance tool for automated sleep staging
title_short	An open-source, high-performance tool for automated sleep staging
title_full	An open-source, high-performance tool for automated sleep staging
title_fullStr	An open-source, high-performance tool for automated sleep staging
title_full_unstemmed	An open-source, high-performance tool for automated sleep staging
title_sort	open-source, high-performance tool for automated sleep staging
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/abfae7faa3ab42f589673a61cbdbe05c
work_keys_str_mv	AT raphaelvallat anopensourcehighperformancetoolforautomatedsleepstaging AT matthewpwalker anopensourcehighperformancetoolforautomatedsleepstaging AT raphaelvallat opensourcehighperformancetoolforautomatedsleepstaging AT matthewpwalker opensourcehighperformancetoolforautomatedsleepstaging
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An open-source, high-performance tool for automated sleep staging

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