Abstract
Automatic patient monitoring for cardiac diseases has been one of our prime requirements, and would certainly continue to be in the future years. Electrocardiogram (ECG) is highly adopted as a primary diagnostic tool for cardiovascular diseases. Heart monitoring requires extraction of important features from the ECG signal. R peak detection is necessary to determine abnormal heart function diseases including Arrhythmia, Myocardial infarction, etc. There have been several methods like Pan Tompkins, Wavelet Decomposition, etc. using which R peaks are detected. In this paper, we explore Chebfun for computing the R peaks and compare its performance with the existing standard methodologies viz. Variational Mode Decomposition(VMD) and Pan Tompkins.