[Automatic detection model of hypertrophic cardiomyopathy based on deep convolutional neural network].

Bu, Yuxiang; Cha, Xingzeng; Zhu, Jinling; Su, Ye; Lai, Dakun

Bu, Yuxiang; Cha, Xingzeng; Zhu, Jinling; Su, Ye; Lai, Dakun.

Afiliación

Bu Y; School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China.
Cha X; School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China.
Zhu J; School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China.
Su Y; Department of Cardiovascular Ultrasound and Cardiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu 610072, P. R. China.
Lai D; School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 39(2): 285-292, 2022 Apr 25.

Article en Zh | MEDLINE | ID: mdl-35523549

Asunto(s)

Cardiomiopatía Hipertrófica; Redes Neurales de la Computación; Algoritmos; Cardiomiopatía Hipertrófica/diagnóstico; Bases de Datos Factuales; Electrocardiografía; Frecuencia Cardíaca; Humanos

Palabras clave

Convolutional neural network; Deep learning; Hypertrophic cardiomyopathy; Single-lead electrocardiogram

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cardiomiopatía Hipertrófica / Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: Zh Revista: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2022 Tipo del documento: Article Pais de publicación: China

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