Open AccessA Modified Deep Learning Framework for Arrhythmia Disease Analysis in Medical Imaging Using Electrocardiogram Signal
Author(s) -
A. Anbarasi,
T. Ravi,
V. S. Manjula,
J. Brindha,
S. Saranya,
G. Ramkumar,
R. Rathi
Publication year - 2022
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2022/5203401
Subject(s) - heartbeat , computer science , artificial intelligence , deep learning , identification (biology) , noise (video) , pattern recognition (psychology) , cardiac arrhythmia , machine learning , process (computing) , categorization , convolutional neural network , signal (programming language) , data mining , image (mathematics) , medicine , cardiology , botany , computer security , biology , operating system , atrial fibrillation , programming language
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