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Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals.
Tan, Jen Hong; Hagiwara, Yuki; Pang, Winnie; Lim, Ivy; Oh, Shu Lih; Adam, Muhammad; Tan, Ru San; Chen, Ming; Acharya, U Rajendra.
Afiliación
  • Tan JH; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Hagiwara Y; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Pang W; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Lim I; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Oh SL; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Adam M; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Tan RS; National Heart Centre Singapore, Singapore; Duke-National University of Singapore Medical School, Singapore.
  • Chen M; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore.
  • Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Malaysi
Comput Biol Med ; 94: 19-26, 2018 03 01.
Article en En | MEDLINE | ID: mdl-29358103

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Procesamiento de Señales Asistido por Computador / Diagnóstico por Computador / Redes Neurales de la Computación / Electrocardiografía Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Comput Biol Med Año: 2018 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Procesamiento de Señales Asistido por Computador / Diagnóstico por Computador / Redes Neurales de la Computación / Electrocardiografía Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Comput Biol Med Año: 2018 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Estados Unidos