R. K. Prasad

Hybrid feature engineering for resource-efficient Arrhythmia detection in electrocardiogram signals: An interpretable, separability-driven framework.

Under leakage-controlled inter-patient evaluation, causal physiological representations enable an interpretable linear model to achieve efficient and competitive arrhythmia detection potentially suitable for resource-constrained wearable and bedside decision-support systems, matching the discriminative evidence exploit...