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Classification of Electrocardiography Hybrid Convolutional Neural Network-Long Short Term Memory with Fully Connected Layer.
Ramachandran, Dhanagopal; Kumar, R Suresh; Alkhayyat, Ahmed; Malik, Rami Q; Srinivasan, Prasanna; Priya, G Guga; Gosu Adigo, Amsalu.
Afiliación
  • Ramachandran D; Centre for System Design, Chennai Institute of Technology, Chennai, Tamil Nadu, India.
  • Kumar RS; Centre for System Design, Chennai Institute of Technology, Chennai, Tamil Nadu, India.
  • Alkhayyat A; Department of Computer Technical Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq.
  • Malik RQ; Department of Medical Instrumentation Techniques Engineering, AI-Mustaqbal University College, Hillah 51001, Iraq.
  • Srinivasan P; Department of Information Technology, R.M.D. Engineering College, Kaveripettai, Thiruvallur, Tamil Nadu, India.
  • Priya GG; School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India.
  • Gosu Adigo A; Center of Excellence for Bioprocess and Biotechnology, Department of Chemical Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Comput Intell Neurosci ; 2022: 6348424, 2022.
Article en En | MEDLINE | ID: mdl-35860642

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Memoria a Corto Plazo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Señales Asistido por Computador / Memoria a Corto Plazo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos