Sleep postures monitoring based on capacitively coupled electrodes and deep recurrent neural networks.

Peng, Shun; Li, Yang; Cui, Rui; Xu, Ke; Wu, Yonglin; Huang, Ming; Dai, Chenyun; Tamur, Toshiyo; Mukhopadhyay, Subhas; Chen, Chen; Chen, Wei

Peng, Shun; Li, Yang; Cui, Rui; Xu, Ke; Wu, Yonglin; Huang, Ming; Dai, Chenyun; Tamur, Toshiyo; Mukhopadhyay, Subhas; Chen, Chen; Chen, Wei.

Affiliation

Peng S; Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, 200433, China.
Li Y; Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, 200433, China.
Cui R; Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, 200433, China.
Xu K; Department of Infectious Disease, Imperial College London, London, UK.
Wu Y; Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, 200433, China.
Huang M; Computational Systems Biology, Division of Information Science, Nara Institute of Science and Technology, Nara, Japan.
Dai C; Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, 200433, China.
Tamur T; Institute for Healthcare Robotics, Waseda University, Tokyo, 162-0041, Japan.
Mukhopadhyay S; School of Engineering, Macquarie University, Sydney, NSW, 2109, Australia.
Chen C; Human Phenome Institute, Fudan University, Shanghai, 201203, China.
Chen W; Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, 200433, China. w_chen@fudan.edu.cn.

Biomed Eng Online ; 21(1): 75, 2022 Oct 13.

Article de En | MEDLINE | ID: mdl-36229851

Sujet(s)
Mots clés

Capacitive electrocardiogram; Capacitively coupled electrode; Recurrent neural network; Sleep posture

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Posture / Sommeil Type d'étude: Prognostic_studies Langue: En Journal: Biomed Eng Online Sujet du journal: ENGENHARIA BIOMEDICA Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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