Time Domain Analysis of Heart Rate Variability: An Approach for Cardiac Stress Assessment

Cardiac and diabetic diseases are common and troublesome complications, leading to increased morbidity and mortality rate across the world. The proposed system performs stress analysis for cardiac health assessment from, heart rate variability (HRV) parameters of electrocardiogram (ECG) data. Data from 15 diabetic, 18 cardiac diseased, and 17 healthy subjects were collected in sitting position for imposing stress on the heart and supine position for stress-less data. Analysis is performed using HRV time domain values of sampled ECG data separately on three class of subjects. For this purpose, the mean of the difference (MoD) between sitting to supine is calculated. Our results shows that cardiac diseased subjects handle less stress with MoD value lowest among said three classes. The MoD values are highest and are positive for healthy subjects, and are moderate for diabetic subjects. Also NN50 and TINN parameters provide significant results as compared to other parameters. The results are cross verified with the help of diagnostic medical report in the hospital.