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Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability.
Yamakawa, Toshitaka; Miyajima, Miho; Fujiwara, Koichi; Kano, Manabu; Suzuki, Yoko; Watanabe, Yutaka; Watanabe, Satsuki; Hoshida, Tohru; Inaji, Motoki; Maehara, Taketoshi.
Afiliação
  • Yamakawa T; Division of Informatics and Energy, Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan.
  • Miyajima M; Fuzzy Logic Systems Institute, Iizuka 820-0067, Japan.
  • Fujiwara K; Section of Liaison Psychiatry and Palliative Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
  • Kano M; Graduate School of Engineering, Nagoya University, Nagoya 464-8603, Japan.
  • Suzuki Y; Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan.
  • Watanabe Y; Section of Liaison Psychiatry and Palliative Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
  • Watanabe S; Amekudai Hospital, Naha 900-0005, Japan.
  • Hoshida T; Department of Psychiatry, National Center Hospital of Neurology and Psychiatry, Kodaira 187-8553, Japan.
  • Inaji M; Department of Psychiatry, Saitama Medical University Hospital, Saitama 350-0495, Japan.
  • Maehara T; National Hospital Organization Nara Medical Center, Nara 619-1124, Japan.
Sensors (Basel) ; 20(14)2020 Jul 17.
Article em En | MEDLINE | ID: mdl-32709064
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Japão