Contribution of Different Subbands of ECG in Sleep Apnea Detection Evaluated Using Filter Bank Decomposition and a Convolutional Neural Network.

Yeh, Cheng-Yu; Chang, Hung-Yu; Hu, Jiy-Yao; Lin, Chun-Cheng

Yeh, Cheng-Yu; Chang, Hung-Yu; Hu, Jiy-Yao; Lin, Chun-Cheng.

Afiliação

Yeh CY; Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan.
Chang HY; Heart Center, Cheng Hsin General Hospital, Taipei 112, Taiwan.
Hu JY; Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
Lin CC; Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 411, Taiwan.

Sensors (Basel) ; 22(2)2022 Jan 10.

Article em En | MEDLINE | ID: mdl-35062470

Assuntos

Síndromes da Apneia do Sono; Apneia Obstrutiva do Sono; Algoritmos; Eletrocardiografia; Humanos; Redes Neurais de Computação; Polissonografia; Síndromes da Apneia do Sono/diagnóstico; Apneia Obstrutiva do Sono/diagnóstico

Palavras-chave

convolutional neural network; filter bank decomposition; obstructive sleep apnea; single-lead electrocardiogram

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndromes da Apneia do Sono / Apneia Obstrutiva do Sono Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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