[Application and comparison of continuous wavelet transform and matching pursuit method in analyzing phonocardiographic signals].
Heart sounds are highly valuable to the clinical diagnoses of most cardiovascular diseases, so the analysis of phonocardiographic signals is helpful to diagnosing cardiovascular diseases clinically. Phonocardiographic signals are non-stable, so it is necessary to choose appropriate method in time-frequency analysis. The traditional method such as Fourier Transform is dissatisfactory. Continuous Wavelet Transform (CWT) and Matching (MPM) Pursuit Method are both effective methods. They can be used to extract and cluster the characteristics of the signals. By analysis and comparison, the two methods showed the advantages over traditional methods. Additionally, their respective merits and demerits are indicated.
Zhang
Zuxing
Z
School of Information Science and Engineering of Yunnan University, Kunming 650091, China.
Liu
Jun
J
Tang
Yibing
Y
Wang
Weilian
W
D000465:Algorithms; D005583:Fourier Analysis; D006347:Heart Sounds; D006801:Humans; D010701:Phonocardiography; D012815:Signal Processing, Computer-Assisted