Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data

PURPOSE: To develop an automated framework for sleep stage scoring from PSG via a deep neural network. METHODS: An automated deep neural network was proposed by using a multi-model integration strategy with multiple signal channels as input. All of the data were collected from one single medical cen...

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Detaylı Bibliyografya
Yayımlandı:Sleep Breath
Asıl Yazarlar: Zhang, Xiaoqing, Xu, Mingkai, Li, Yanru, Su, Minmin, Xu, Ziyao, Wang, Chunyan, Kang, Dan, Li, Hongguang, Mu, Xin, Ding, Xiu, Xu, Wen, Wang, Xingjun, Han, Demin
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Springer International Publishing 2020
Konular:
Sleep Breathing Physiology and Disorders • Original Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289784/
https://ncbi.nlm.nih.gov/pubmed/31938990
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11325-019-02008-w
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