Explainable artificial intelligence for heart rate variability in ECG signal

Sanjana K1, Sowmya V1, Gopalakrishnan E A1

  • 1Center for Computational Engineering and Networking, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, Tamilnadu, India.

Summary

Deep learning models trained on atrial fibrillation struggle to detect other tachycardia types like sinus tachycardia. Models learned to identify the absence of P-waves, a key differentiator, alongside fast heart rhythms.

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