Inter-Patient Congestive Heart Failure Detection Using ECG-Convolution-Vision Transformer Network.

Liu, Taotao; Si, Yujuan; Yang, Weiyi; Huang, Jiaqi; Yu, Yongheng; Zhang, Gengbo; Zhou, Rongrong

Liu, Taotao; Si, Yujuan; Yang, Weiyi; Huang, Jiaqi; Yu, Yongheng; Zhang, Gengbo; Zhou, Rongrong.

Afiliación

Liu T; School of Electronic and Information Engineering (SEIE), Zhuhai College of Science and Technology, Zhuhai 519041, China.
Si Y; College of Communication Engineering, Jilin University, Changchun 130012, China.
Yang W; School of Electronic and Information Engineering (SEIE), Zhuhai College of Science and Technology, Zhuhai 519041, China.
Huang J; College of Communication Engineering, Jilin University, Changchun 130012, China.
Yu Y; College of Communication Engineering, Jilin University, Changchun 130012, China.
Zhang G; Department of Biomedical Engineering, McGill University, Montreal, QC H3A 2B4, Canada.
Zhou R; College of Computer Science and Technology, Jilin University, Changchun 130012, China.

Sensors (Basel) ; 22(9)2022 Apr 25.

Article en En | MEDLINE | ID: mdl-35590972

Asunto(s)

Electrocardiografía; Insuficiencia Cardíaca; Algoritmos; Insuficiencia Cardíaca/diagnóstico; Humanos; Redes Neurales de la Computación

Palabras clave

Convolutional Neural Network (CNN); Vision Transformer; congestive heart failure (CHF); electrocardiogram (ECG); inter-patient scheme

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electrocardiografía / Insuficiencia Cardíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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