Heart Rate Variability Analysis and Pathological Detection

Abstract

In order to measure the mortality in the patients suffering from the heart disease we use the term HRV that i.e. Heart Rate Variability. Estimation methods as Parametric and Non-Parametric are used in the analysis of Heart Rate Variability but Heart Rate Variability requires the specific capabilities which are not provided by either of these. The term EMD i.e. Empirical Mode Decomposition adaptively estimates the IMF i.e. Intrinsic Mode Function of the nonlinear and nonstationary signal. The IMF obtained from the EMD is used for the analyses of the HRV latencies of Healthy subjects and of Congestive Heart Failure subjects. In this paper we have considered the 15 Congestive Heart Failure patients, 20 healthy young control patients and 20 healthy old control patients. After finding the IMF from EMD we have calculated the average periods, absolute power, normalised power and cumulative power and concerned plots are drawn for the comparison of the considered subjects. The results obtained shows that the HRV of healthy subjects rises rapidly to its maximum response as compared to the HRV of the pathological subjects. This fact can be used as a promising approach in clinical practise for the screening of specific risk group.