Editorial: Seizure Forecasting and Detection: Computational Models, Machine Learning, and Translation Into Devices.

Chiang, Sharon; Baud, Maxime O; Worrell, Gregory A; Rao, Vikram R

Chiang, Sharon; Baud, Maxime O; Worrell, Gregory A; Rao, Vikram R.

Afiliação

Chiang S; Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Baud MO; Department of Neurology, Sleep-Wake-Epilepsy Center and Center for Experimental Neurology, Inselspital Bern, University Hospital, University of Bern, Bern, Switzerland.
Worrell GA; Wyss Center for Bio- and Neuro-Technology, Geneva, Switzerland.
Rao VR; Department of Neurology, Mayo Clinic, Rochester, MN, United States.

Front Neurol ; 13: 874070, 2022.

Article em En | MEDLINE | ID: mdl-35370904

Palavras-chave

artificial intelligence; computational models; epilepsy; machine learning; seizure detection; seizure forecasting; seizure prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Neurol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça

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