Automatic determination of sleep stage through bio-neurological signals contaminated with artifacts by a conditional probability of the knowledge base. - Bei Wang 003; Xingyu Wang 004; Junzhong Zou; Fusae Kawana; Masatoshi Nakamura (Artif. Life Robotics, 2008)

Automatic EEG arousal detection for sleep apnea syndrome. - Takenao Sugi; Fusae Kawana; Masatoshi Nakamura (Biomed. Signal Process. Control., 2009)

Automatic sleep stage classification for sleep apnea patients using an in-home sleep electroencephalography device. - Saki Tsumoto; Jaehoon Seol; Kazumasa Horie; Fusae Kawana; Morie Tominaga; Shigeru Chiba; Hideaki Kondo; Hiroyuki Yoshimine; Masaki Matsubara; Atsuyuki Morishima; Masashi Yanagisawa; Hiroyuki Kitagawa (IEEE Big Data, 2024)

Sleep and Arousal Scoring for In-Home EEG Signals: A Multitask Learning Approach. - Juan Carlos Neira Almanza; Leo Ota; Kazumasa Horie; Fusae Kawana; Toshio Kokubo; Masashi Yanagisawa; Hiroyuki Kitagawa (ICHI, 2024)

Automated Generation of Narrative Sleep Reports Utilizing Portable Electroencephalogram Data Through ChatGPT. - Saki Tsumoto; Fusae Kawana; Kazumasa Horie; Minori Masaki; Kei Nishida; Kazuya Miyanishi; Jaehoon Seol; Morie Tominaga; Takashi Amemiya; Tetsuro Hiei; Akihiro Tani; Masaki Matsubara; et al. (ICHI, 2024)

Label-Efficient Self-Supervised Learning for Sleep Stage Classification Using Multi-Channel In-Home EEG Data. - Vijdan Khalique; Zhengting Wang; Kazumasa Horie; Fusae Kawana; Toshio Kokubo; Masashi Yanagisawa; Hiroyuki Kitagawa (ICHI, 2025)