Cardiac Health Assessment using HRV analysis

Abstract

Cardiac and diabetic diseases are common and troublesome complications, leading to increased newlinemorbidity and mortality rates. In India, the mortality rate is three times higher due to diabetes. newlineBoth cardiac diseases and diabetes cause dysfunction of heart. Diagnosis of cardiac health before newlinepathological conditions become critical is of utmost essential. The effect of these diseases newlineon the heart s functionality as time passes is essential for practitioners to suggest medications. newlineDiagnosis and treatment also cause a significant economic burden. Researchers have explored newlinecardiac or diabetic diseases for analysis separately. However, classifying these diseases in a combined group of subjects is necessary for risk assessment before the onset of any symptoms. newlineHeart Rate Variability (HRV) is the technique used to study cardiac abnormalities related newlineto fluctuation in sympathetic and parasympathetic activities. HRV is considered a good pointer newlineof autonomic regulators related to cardiovascular health. Researchers have studied HRV in a newlinevariety of situations in order to determine the variables that influence it. Autonomous Nervous newlineSystem (ANS) dynamics are estimated through standard and nonlinear analysis of HRV, which newlineis derived from the electrocardiogram (ECG). HRV offers parameters of autonomous activity newlinewhich are related to cardiac health. newlineA statistical analysis based on linear and nonlinear HRV parameters is performed to stratify newlinethe subjects as low, high, and moderate risk. ECG data for three classes of the subjects were newlinerecorded for 15 minutes in a supine position. A total of 73 subjects, suffering from cardiac newlinediseases, diabetics and normal or healthy subjects. The result shows HRV values lowest for newlinecardiac diseased, moderate for people with diabetes, and highest for healthy subjects indicating newlinediseased cardiac subjects are at highest risk than people with diabetes. newline