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

A warning prior to seizure onset can help improve the quality of life for epilepsy patients. The feasibility of a wearable system for predicting epileptic seizures using anomaly detection based on machine learning is evaluated. An original telemeter is developed for continuous measurement of R-R int...

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Detalles Bibliográficos
Autores principales: Yamakawa, Toshitaka, Miyajima, Miho, Fujiwara, Koichi, Kano, Manabu, Suzuki, Yoko, Watanabe, Yutaka, Watanabe, Satsuki, Hoshida, Tohru, Inaji, Motoki, Maehara, Taketoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411877/
https://www.ncbi.nlm.nih.gov/pubmed/32709064
http://dx.doi.org/10.3390/s20143987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411877/
https://www.ncbi.nlm.nih.gov/pubmed/32709064
http://dx.doi.org/10.3390/s20143987

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