Positioning and Averaging of Phonocardiographic Signals Based on the Matching Pursuit Method

Heart sounds are highly valuable to cardiovascular diseases in clinical diagnoses. So the analysis of phonocardiogram (PCG) is helpful in the field. It is significant to position heart sounds in time domain accurately and automatically. A time-frequency transformation based on matching pursuit metho...

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Bibliographic Details
Published in2006 6th World Congress on Intelligent Control and Automation Vol. 2; pp. 10370 - 10374
Main Authors Zuxing Zhang, Yibin Tang, Xiumei Yang, Jun Liu, Libin Fang, Yuanxia Ji, Weilian Wang
Format Conference Proceeding
LanguageChinese
English
Published IEEE 2006
Subjects
Background noise
Cardiovascular diseases
Electrocardiography
Hardware
Heart
Heart sound
Humans
Interference
Matching pursuit algorithms
Matching Pursuit Method
Noise robustness
Phonocardiogram
Positioning and averaging
Time frequency analysis
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Summary:Heart sounds are highly valuable to cardiovascular diseases in clinical diagnoses. So the analysis of phonocardiogram (PCG) is helpful in the field. It is significant to position heart sounds in time domain accurately and automatically. A time-frequency transformation based on matching pursuit method (MPM) is developed for the PCG. The method was applied to 60 cardiac cycles. It positioned the first (SI) and the second (S2) heart sounds automatically. Also their averages were calculated. The results show that MPM gives a correct detection rate up to 93.3%. The processing is real-time. The method can eliminate electrocardiogram (ECG) as time-reference signal and reduce hardware overheads. It is independent of subjective human judgment and robust to artifacts, background noise and other interferences
ISBN:9781424403325
1424403324
DOI:10.1109/WCICA.2006.1714034