Convolutional neural network based on photoplethysmography signals for sleep apnea syndrome detection.

Jiang, Xinge; Ren, YongLian; Wu, Hua; Li, Yanxiu; Liu, Feifei

Jiang, Xinge; Ren, YongLian; Wu, Hua; Li, Yanxiu; Liu, Feifei.

Afiliación

Jiang X; School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China.
Ren Y; School of Science, Shandong Jianzhu University, Jinan, China.
Wu H; School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China.
Li Y; School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China.
Liu F; School of Science, Shandong Jianzhu University, Jinan, China.

Front Neurosci ; 17: 1222715, 2023.

Article en En | MEDLINE | ID: mdl-37547138

Palabras clave

convolutional neural networks (CNN); cross entropy; photoplethysmographic (PPG) signals; sleep apnea syndrome (SAS); sleep apnea syndrome (SAS) recognition

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China

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