An ensemble of deep learning-based multi-model for ecg heartbeats arrhythmia classification

HIGHLIGHTS

• who: . and collaborators from the Department of Computer Science, Swansea University, Swansea, UK have published the research work: An ensemble of deep learning-based multi-model for ECG heartbeats arrhythmia classification, in the Journal: (JOURNAL)
• what: In this paper a deep learning-based multi-model system is proposed for the classification of electrocardiogram (ECG) signals. The authors propose an ensemble of multi-model deep learning methods to automatically classify heartbeats arrhythmias in highly imbalanced ECG data. This model has a good sensitivity to abnormal classes of ECG arrhythmias. The authors propose a deep learning patient . . .
  

   

  

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