Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals

Yusuke Sakai; Kenji IWAMOTO; Yuto Omae; Tsuyoshi Mikami; Takuma Akiduki; Kazuki Sakai; M. Meyer-Conde; Hirotaka Takahashi

doi:10.3156/jsoft.37.1_506

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Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals

Yusuke Sakai Kenji IWAMOTO Yuto Omae Tsuyoshi Mikami Takuma Akiduki Kazuki Sakai M. Meyer-Conde Hirotaka Takahashi

Year: 2025 Journal: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics Vol: 37 (1)Pages: 506-510 Publisher: Japan Society for Fuzzy Theory and Intelligent Informatics

DOI: 10.3156/jsoft.37.1_506

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Keywords:

Convolutional neural network Stage (stratigraphy) Computer science Sleep (system call) Artificial intelligence Pattern recognition (psychology) Biology

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Obstructive Sleep Apnea Research

Health Sciences → Medicine → Physiology

Non-Invasive Vital Sign Monitoring

Physical Sciences → Engineering → Biomedical Engineering

Sleep and Work-Related Fatigue

Social Sciences → Psychology → Experimental and Cognitive Psychology

Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals

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