Early Seizure Detection by Applying Frequency-Based Algorithm Derived from the Principal Component Analysis.

Lee, Jiseon; Park, Junhee; Yang, Sejung; Kim, Hani; Choi, Yun Seo; Kim, Hyeon Jin; Lee, Hyang Woon; Lee, Byung-Uk

Lee, Jiseon; Park, Junhee; Yang, Sejung; Kim, Hani; Choi, Yun Seo; Kim, Hyeon Jin; Lee, Hyang Woon; Lee, Byung-Uk.

Afiliação

Lee J; Department of Electronics Engineering, Ewha Womans University College of EngineeringSeoul, South Korea.
Park J; Department of Neurology, Ewha Medical Research Institute, Ewha Womans University School of MedicineSeoul, South Korea.
Yang S; Department of Medical Science, Ewha Medical Research Institute, Ewha Womans University School of MedicineSeoul, South Korea.
Kim H; Department of Electronics Engineering, Ewha Womans University College of EngineeringSeoul, South Korea.
Choi YS; Department of Electronics Engineering, Ewha Womans University College of EngineeringSeoul, South Korea.
Kim HJ; Department of Neurology, Ewha Medical Research Institute, Ewha Womans University School of MedicineSeoul, South Korea.
Lee HW; Department of Medical Science, Ewha Medical Research Institute, Ewha Womans University School of MedicineSeoul, South Korea.
Lee BU; Department of Neurology, Ewha Medical Research Institute, Ewha Womans University School of MedicineSeoul, South Korea.

Front Neuroinform ; 11: 52, 2017.

Article em En | MEDLINE | ID: mdl-28860984

Palavras-chave

early seizure detection; electroencephalography; frequency-based feature; principal component analysis; seizure onset

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Front Neuroinform Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Coréia do Sul

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