The paper, titled “Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals”, has been published in Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.

The paper, titled “Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals”, has been published in Journal of Japan Society for Fuzzy Theory and Intelligent Informatics.

Yusuke Sakai, Kenji Iwamoto, Yuto Omae, Tsuyoshi Mikami, Takuma Akiduki, Kazuki Sakai, Marco Meyer-Conde, Hirotaka Takahashi, “Sleep Stage Classification Using Convolutional Neural Networks with Multichannel Physiological Signals”, Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.37, No.1, pp.506–510 (2025).
doi:10.3156/jsoft.37.1_506