The Study Of Heart Failure Based On The Time Sequence Symbol Entropy Of Heart Sound

In recent years, with the degree of aging population, environmental pollution and work stress, the heart failure incidence has shown a gradual increasing trend. Most cardiovascular disease would lead to heart failure, which has high risk and is easy to cause sudden cardiac death. At present, due to the lack of effective diagnostic method, the diagnosis rate of heart failure is low.Heart sound is an important physiological signal, which contains a large number of physiological and pathological information. In this paper, the cardiovascular circulation system is introduced firstly. The symbol entropy based on probability distribution is presented(symbol entropy based on probability distribution, PDSE). In the process of symbolization, the data-intensive area would be adaptively assigned with more symbols, and the sparse area would be assigned with less symbols. It makes the symbol entropy more sensitive to the heart sound, and is capable to capture the nonlinear abnormal state of heart sound signal rapidly and sensitively.Age is one of the independent risk factors for cardiovascular disease. Therefore, the complexity of S1 amplitude sequence of different ages is analyzed based on PDSE, and the myocardial contractile function is analyzed emphatically comparing with the traditional entropy measures. Simulation results show that, as the general consenescence of airframe, the vagus nerve system would degenerate.In order to discuss the further effects that heart failure to the myocardial contraction force variation, PDSE analysis method is used to explore the law of development of heart failure. Besides, PDSE entropy algorithm and base-scale algorithm are used to discuss the effects of heart failure on HRV.Based on these, the article presents a new index of non-destructive diagnosis for heart failure. This diagnosis index is relatively effective and suited to clinical application, which provides a new method for non-destructive diagnosis of heart failure, and also provides a new way of thinking for other cardiovascular diseases.