基于奇异谱和频谱特性的心音分析

For the heart sound is a nonstationary and nonlinear signal, in this paper, a heart sound analysis method based on singular spectrum analysis and frequency features is proposed. Firstly, Singular spectrum analysis is applied to heart sound to remove the environmental noise, and then extract heart sounds principal components based on that the frequency range of the first heart sound and the second heart sound (0Hz to 200Hz). Secondly, do the power spectral density to the residual part of heart sound, the ratio area under the power spectral density curve of 200Hz to 700Hz and the area under power spectral density curve of 0 to 200Hz is the characteristic parameter. Finally, through statistical analysis and sensitivity, specificity analysis found that the characteristic parameters can effectively distinguish between normal and abnormal heart sounds. This is of great significance for the diagnosis of heart disease.