Wavelet transform and deep learning-based obstructive sleep apnea detection from single-lead ECG signals.

Lin, Yuxing; Zhang, Hongyi; Wu, Wanqing; Gao, Xingen; Chao, Fei; Lin, Juqiang

Lin, Yuxing; Zhang, Hongyi; Wu, Wanqing; Gao, Xingen; Chao, Fei; Lin, Juqiang.

Afiliación

Lin Y; School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, 361024, China.
Zhang H; School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, 361024, China. zhanghongyi@xmut.edu.cn.
Wu W; School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, 510006, China.
Gao X; School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, 361024, China. 2021000069@xmut.edu.cn.
Chao F; School of Informatics, Xiamen University, Xiamen, 36100, China.
Lin J; School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, 361024, China.

Phys Eng Sci Med ; 47(1): 119-133, 2024 Mar.

Article en En | MEDLINE | ID: mdl-37982985

Asunto(s)

Aprendizaje Profundo; Síndromes de la Apnea del Sueño; Apnea Obstructiva del Sueño; Humanos; Análisis de Ondículas; Apnea Obstructiva del Sueño/diagnóstico por imagen; Síndromes de la Apnea del Sueño/diagnóstico por imagen; Electrocardiografía/métodos

Palabras clave

Data balancing; Deep learning; ECG; Sleep apnea; Wavelet transform

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Síndromes de la Apnea del Sueño / Apnea Obstructiva del Sueño / Aprendizaje Profundo Límite: Humans Idioma: En Revista: Phys Eng Sci Med Año: 2024 Tipo del documento: Article País de afiliación: China

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