DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal

Li and Guan present a deep learning approach for automatically segmenting sleep arousal regions based on polysomnographic recordings. The algorithm, which won an open competition, enables fast and accurate delineation of sleep arousal events and would be useful in the scoring process in clinical stu...

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Detalles Bibliográficos
Autores principales:	Hongyang Li, Yuanfang Guan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/7dc0c7b085f0446ebd7d82fc30ea81e1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:7dc0c7b085f0446ebd7d82fc30ea81e12021-12-02T11:45:59ZDeepSleep convolutional neural network allows accurate and fast detection of sleep arousal10.1038/s42003-020-01542-82399-3642https://doaj.org/article/7dc0c7b085f0446ebd7d82fc30ea81e12021-01-01T00:00:00Zhttps://doi.org/10.1038/s42003-020-01542-8https://doaj.org/toc/2399-3642Li and Guan present a deep learning approach for automatically segmenting sleep arousal regions based on polysomnographic recordings. The algorithm, which won an open competition, enables fast and accurate delineation of sleep arousal events and would be useful in the scoring process in clinical studies.Hongyang LiYuanfang GuanNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Hongyang Li Yuanfang Guan DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
description	Li and Guan present a deep learning approach for automatically segmenting sleep arousal regions based on polysomnographic recordings. The algorithm, which won an open competition, enables fast and accurate delineation of sleep arousal events and would be useful in the scoring process in clinical studies.
format	article
author	Hongyang Li Yuanfang Guan
author_facet	Hongyang Li Yuanfang Guan
author_sort	Hongyang Li
title	DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
title_short	DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
title_full	DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
title_fullStr	DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
title_full_unstemmed	DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal
title_sort	deepsleep convolutional neural network allows accurate and fast detection of sleep arousal
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7dc0c7b085f0446ebd7d82fc30ea81e1
work_keys_str_mv	AT hongyangli deepsleepconvolutionalneuralnetworkallowsaccurateandfastdetectionofsleeparousal AT yuanfangguan deepsleepconvolutionalneuralnetworkallowsaccurateandfastdetectionofsleeparousal
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DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal

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