Analysis Of Nonlinear Dynamical Parameters Of The Heart Rate Varibility (HRV) Signal

The Heart Rate Varibility(HRV) signal contains mass information,which concerns the cardiovascular nervous system and the body fluid.Much information about the status of autonomic nervous system can be obtained by means of examining the patients' heart rate.The analysis of the HRV signal is one of the key techniques for the clinical studying and diagnosing the cardiovascular diseases.In this paper,the theory and method of the nonlinear dynamics of the HRV signal is analysized and studied based on the modern signal proessing method-the chaos theory of the nonlinear dynamics.The feasibility of using the nonlinear dynamics parameters to analysize the HRV is verified and the relationship between these parameters and the heart's autonomic nervous system is discussed.The computation of the Kolmogorov complexity in two type of experiments is focused in this paper.The amount of work for the computation is in plenty and there is no study for this subject in days gone by.The main work and conclusions are as follows:①The properties and features of the chaos and the nonlinear dynamics features of the chaos time sequence are analysized and studied in detai.The chaotic properties of HRV are discussed and demonstrated by experimental methods.②The application of the nonlinear dynamics method to the HRV is discussed. The Kolmogorov complexity,the fractal correlative dimension and Lyapunov exponent are chosen and the Kolmogorov complexity is focused in this paper.The Kolmogorov complexity is characterized by small calculation capacity,simple algorithm and strong antijamming.The choice of the two parameters of the embedding dimension and the optimal time delay in the correlative dimension during the reconstruction of the object space are discussed.The optimal embedding dimension and the optimal time delay have been determined.The algorithm of calculating the largest Lyapunov exponent method—the small data algorithm is introduced.③The medicine experiment contrasting Atropine with Betaloc is designed.The results of the medicine experimental data are compared and analysized,the conclusions are presented as follows:After dosing Atropine,the Kolmogorov complexity index is reduced.After dosing Betaloc,the Kolmogorov complexity index is tended towards reducing. ④The Kolmogorov complexities among the healthy persons and the patients suffering from hypertension or coronary heart disease are counted up and compared. The results show that comparing with the healthy persons,the Kolmogorov complexities of the patients suffering from hypertension or coronary heart disease is reduced to varying degrees.This researches have shown that the Kolmogorov complexity can be used to analysize the the clinical HRV signal and the acting states of the vagus nerve and the sympathetic nerve can be characterized.