Heartbeat classification and arrhythmia detection using a multi-model deep-learning technique

HIGHLIGHTS

  • who: Saad Irfan and collaborators from the Department of Computer Science, Capital University of Science and Technology, Islamabad, Pakistan have published the research: Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique, in the Journal: Sensors 2022, 22, 5606. of /2022/
  • what: To address these issues at hand, this work proposes an ensemble of deep neural_networks that involves the designing and merging of two neural_networks followed by the training of the merged model in a simultaneous flow. The paper has not, however, discussed nor taken into consideration the overall training time of . . .

     

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