Heartbeat classification based on single lead-II ECG using deep learning.

Issa, Mohamed F; Yousry, Ahmed; Tuboly, Gergely; Juhasz, Zoltan; AbuEl-Atta, Ahmed H; Selim, Mazen M

Issa, Mohamed F; Yousry, Ahmed; Tuboly, Gergely; Juhasz, Zoltan; AbuEl-Atta, Ahmed H; Selim, Mazen M.

Afiliación

Issa MF; Department of Scientific Computing, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13511, Egypt.
Yousry A; Department of Electrical Engineering and Information Systems, University of Pannonia, 8200, Veszprém, Hungary.
Tuboly G; Department of Computer Science, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13511, Egypt.
Juhasz Z; Department of Electrical Engineering and Information Systems, University of Pannonia, 8200, Veszprém, Hungary.
AbuEl-Atta AH; Department of Electrical Engineering and Information Systems, University of Pannonia, 8200, Veszprém, Hungary.
Selim MM; Department of Computer Science, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13511, Egypt.

Heliyon ; 9(7): e17974, 2023 Jul.

Article en En | MEDLINE | ID: mdl-37539141

Palabras clave

Cardiac cycles; Cardiovascular disease; Deep neural network; Electrocardiogram; Residual blocks

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: Egipto Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google