Comparative Analysis of Heart Rate Variability Between Healthy and Morbid Group Based on Correlation Dimension

Heart rate variability(HRV) is an important index to express the tensility and balance of the parasympathetic- sympathetic nerve, and it is valuable to diagnose heart and blood disease in clinical diagnosis. It was approved that HRV signal possess nonlinear characteristic, and we can analysis and represent HRV signal by nonlinear dynamic parameter, such as correlation dimension. In this paper, We have demonstrated the nonlinear characteristic of the HRV signal, improved the algorithm used to estimate the correlation dimension of the HRV time series, illustrated two group samples whose correlation dimension were calculated and compared, and formed some valuable conclusions.