Journal of Guangxi Normal University(Natural Science Edition) ›› 2015, Vol. 33 ›› Issue (3): 34-44.doi: 10.16088/j.issn.1001-6600.2015.03.006

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Heart Sound Signals Feature Analysis and Recognition Method

ZHOU Ke-liang, WANG Ya-guang, YE Cen   

  1. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China
  • Received:2015-01-10 Online:2015-05-10 Published:2018-09-20

Abstract: Heart sound signal reflects the mechanical condition of the heart and cardiovascular system, which is an important signal of the physiological and pathological information about various parts of the human heart. At present, the diagnosis of disease through the heart sound signal method is mainly by manual auscultation. It would be very important to the clinical research of heart disease if can come up with an effective algorithm which can automatically recognize and classify the collected heart sound, judge and even prompt a warning signal when heart sound related to lesions is found. Based on the above described facts, it studied the heart sound by the following aspects: use HKY-06B heart sound sensor to collect heart sound signal; transforming format and storing heart sound signal by the recording software of CoolEditPro2.1, pre-processing, extracting the features of the heart sound signals by means of Mel Frequency. After preprocessing, extracting features, GMM is set. the sampled signals are put into the GMM model to identify whether the sounds are normal sounds or pathological ones.

Key words: heart sound identification, wavelet analysis, mel frequency cepstral coefficients, gaussian mixture model

CLC Number: 

  • TN911.72
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