Chaotic Characteristics of Heart Sound Signals Based on the Largest Lyapunov Exponent

Abstract:

Seeking a way non-invasive and adaptive to differentiate the normal and abnormal heart sound signals to provide more valuable reference method to the clinical diagnosis. This paper made the largest Lyapunov exponent as the mainline. According to the unity of the whole signal in different stages, a method to study the characteristic in stage was proposed. First of all, we made phase space reconstitution to the typical seven normal and abnormal heart sound signals. Then, we calculated the largest Lyapunov exponents according to the phase space reconstitution parameters. At last, we compared and analyzed the mean values of the largest Lyapunov exponents. The mean value of the normal heart sound signal in S1 was 0.145, which was much larger than that of the abnormal signals and the mean value of the normal heart sound signal in S2 was larger than that of the abnormal ones, too. This conclusion means that there are chaotic characteristic in the heart sound signals and the degree of chaos in normal heart sounds is higher than that in the abnormal heart sound signals.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 1117-1124
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.1117
• Online since: September 2013
• Authors: Li Sha Sun, Li Li Sun
• Keywords: Chaotic Characteristics, Heart Sound S1, Heart Sound S2, Largest Lyapunov Exponent, Phase Space Reconstitution

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