Heart Rate Variability Analysis in Different Age and Pathological Conditions | Science Publications

Journal of Computer Science

M. E.S. Chelladurai¹  N. Kumaravel¹ 

关键词: Average period;    empirical mode decomposition;    heart rate variability;    intrinsic mode function;    pathological conditions;    clinical practice;    autonomous nervous system;    mode functions;    scale filtering method;   

DOI  :  10.3844/jcssp.2011.1515.1524

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Heart Rate Variability (HRV) has been used as a measure of mortality primarily with patients who had undergone cardiac surgery. The analysis of Heart Rate Variability (HRV) demands specific capabilities which are not provided either by parametric or nonparametric conventional estimation methods. The Empirical Mode Decomposition (EMD) adaptively estimates the Intrinsic Mode Functions (IMFs) of nonlinear nonstationary signals. Approach: The intrinsic mode functions estimated from the HRV signal were based on local characteristics of the signal. The principle objective was to analyze the HRV latencies of healthy subjects in different age and pathological conditions. The method was applied to HRV signal of 17 healthy young control subjects, 17 healthy old control subjects and 20 congestive heart failure patients for half hour duration. Results: The results showed that a healthy person

【 授权许可】

Unknown