A Novel Continuous Sleep State Artificial Neural Network Model Based on Multi-Feature Fusion of Polysomnographic Data

Jian Cui1 Department of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People’s Republic of ChinaCorrespondence[email protected]

Yunliang Sun2 Department of Respiratory and Sleep Medicine, Bin Zhou Medical University Hospital, Binzhou, Shandong, 256600, People’s Republic of China

Haifeng Jing3 College of Software and Microelectronics, Peking University, Beijing, 100000, People’s Republic of China

https://orcid.org/0009-0002-1342-3291

Qiang Chen1 Department of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People’s Republic of China

Zhihao Huang1 Department of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People’s Republic of China

Xin Qi1 Department of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People’s Republic of China

Hao Cui1 Department of Big Data and Fundamental Sciences, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People’s Republic of China

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A Novel Continuous Sleep State Artificial Neural Network Model Based on Multi-Feature Fusion of Polysomnographic Data

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A Novel Continuous Sleep State Artificial Neural Network Model Based on Multi-Feature Fusion of Polysomnographic Data

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