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Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability.

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第一作者： Toshitaka,Yamakawa

第一单位： Division of Informatics and Energy, Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.;Fuzzy Logic Systems Institute, Iizuka 820-0067, Japan.

作者： Toshitaka,Yamakawa ^[1] ; Miho,Miyajima ^[2] ; Koichi,Fujiwara ^[3] ; Manabu,Kano ^[4] ; Yoko,Suzuki ^[2] ; Yutaka,Watanabe ^[5] ; Satsuki,Watanabe ^[6] ; Tohru,Hoshida ^[7] ; Motoki,Inaji ^[8] ; Taketoshi,Maehara ^[8]

作者单位： Division of Informatics and Energy, Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.;Fuzzy Logic Systems Institute, Iizuka 820-0067, Japan. ^[1] Section of Liaison Psychiatry and Palliative Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan. ^[2] Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan. ^[3] Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan. ^[4] Amekudai Hospital, Naha 900-0005, Japan. ^[5] Department of Psychiatry, National Center Hospital of Neurology and Psychiatry, Kodaira 187-8553, Japan.;Department of Psychiatry, Saitama Medical University Hospital, Saitama 350-0495, Japan. ^[6] National Hospital Organization Nara Medical Center, Nara 619-1124, Japan. ^[7] Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo 113-8510, Japan. ^[8]

关键词 electrocardiography epilepsy heart rate variability machine learning multivariate statistical process control seizure prediction wearable system