Analysis of Complexity Measures of the Heart Rate Variability Signals Collected from Cardiovascular Patients
The aim is to characterize the effects of cardiovascular on heart rate variability(HRV) by the nonlinear dynamical parameter complexity measure of the MRV signal. The method is that the electrocardiogram signals of 20 normal samples and 107 various patient samples are collected. Based on the preprocessing for the raw data, the IIRV signals of all samples are extracted from electrocardiogram signals. The third-order complexity measure is determined as a parameter to describe the IIRV signals. All complexity measures of samples are calculated. The result is when the confidence degree is 0.05, the confidence interval of the normal population mean of complexity measures for the normal group is (0.5224, 0.5934), and (0.4539, 0.4984) for hypertension patient group, (0.4423, 0.5092) for coronary patient group, (0.4229, 0.5336) for hypertension complicated with coronary patient group and (0.3933, 0.5372) for heart failure patient group. By the statistic results, the normal group and patient groups can be clearly distinguished by the values of complexity measure of IIRV signals. In conclusion, the result can be used to be a reference to evaluate the function or state, and to diagnosis disease, and to monitor the rehabilitation progress of the cardiovascular systems in clinical medicine.
cardiovascular patient electrocardiogram signal heart rate variability complexity measure
Jiafu Zhu
School of Electronic & Electrical Engineering, Chongqing University of Arts and Sciences, Chongqing, 402160, China The Key Laboratory of High-Voltage and New Technology, Chinese Ministry of Education, Chongqing University,Chongqing 400030, China
国际会议
成都
英文
281-283
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）