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Updated: Nov 22, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
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.
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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2026-06-19T13:38:53.384775+00:00
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