Multi-information fusion neural networks for arrhythmia automatic detection.

Chen, Aiyun; Wang, Fei; Liu, Wenhan; Chang, Sheng; Wang, Hao; He, Jin; Huang, Qijun

Chen, Aiyun; Wang, Fei; Liu, Wenhan; Chang, Sheng; Wang, Hao; He, Jin; Huang, Qijun.

Afiliação

Chen A; School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Wang F; School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Liu W; School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Chang S; School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Wang H; School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
He J; School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Huang Q; School of Physics and Technology, Wuhan University, Wuhan, 430072, China. Electronic address: huangqj@whu.edu.cn.

Comput Methods Programs Biomed ; 193: 105479, 2020 Sep.

Article em En | MEDLINE | ID: mdl-32388066

Assuntos

Arritmias Cardíacas; Processamento de Sinais Assistido por Computador; Algoritmos; Arritmias Cardíacas/diagnóstico; Eletrocardiografia; Humanos; Redes Neurais de Computação

Palavras-chave

Arrhythmia; Bidirectional long short term memory (BLSTM); Convolutional neural network (CNN); Electrocardiogram (ECG); Multi-information fusion

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Processamento de Sinais Assistido por Computador Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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