An Intelligent Epileptic Prediction System Based on Synchrosqueezed Wavelet Transform and Multi-Level Feature CNN for Smart Healthcare IoT.

Song, Kunpeng; Fang, Jiajia; Zhang, Lei; Chen, Fangni; Wan, Jian; Xiong, Neal

Song, Kunpeng; Fang, Jiajia; Zhang, Lei; Chen, Fangni; Wan, Jian; Xiong, Neal.

Afiliação

Song K; School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Fang J; Department of Neurology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China.
Zhang L; School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Chen F; School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Wan J; School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Xiong N; Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX 79830, USA.

Sensors (Basel) ; 22(17)2022 Aug 27.

Article em En | MEDLINE | ID: mdl-36080916

Assuntos

Epilepsia; Análise de Ondaletas; Algoritmos; Atenção à Saúde; Eletroencefalografia; Epilepsia/diagnóstico; Humanos; Qualidade de Vida; Convulsões/diagnóstico

Palavras-chave

Internet of Things; convolutional neural network; electroencephalogram (EEG); seizure prediction; synchrosqueezed wavelet transform

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Análise de Ondaletas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google