Authors - Dinesh O. Shirsath, Swati V.Sankpal Abstract - This paper presents a hybrid denoising pipeline for multi-channel electrocardiogram (ECG) recordings. First, blind source separation (BSS) isolates putative sources (cardiac, motion, muscle, baseline drift). Second, each separated component is represented sparsely in a suitable transform or learned dictionary; small / noise-dominated coefficients are attenuated and the component reconstructed. Finally, recombination yields a denoised ECG that preserves waveform morphology while suppressing compound, nonstationary noise. The paper describes the mathematical model, algorithmic steps, implementation tips, evaluation metrics, and practical considerations for deployment.
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