吉林大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (05): 1433-1437.

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Heart sound segmentation algorithm based on highorder Shannon entropy

WANG Xin-pei, LIU Chang-chun, LI Yuan-yang, SUN Chu-ran   

  1. School of Control Science and Engineering, Shandong University,Ji′nan 250061,China
  • Received:2009-05-05 Online:2010-09-01 Published:2010-09-01

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Abstract:

The algorithm based on Shannon energy is improved for robust segmentation of heart sound with murmurs. First, the heart sound signal is preprocessed by wavelet to eliminate background noises and highfrequency murmurs. Then, the highorder Shannon entropy of signal is calculated as envelope to overcome the interference of lowfrequency murmurs. Finally, the envelope is segmented into four parts: the first heart sound, the systolic period, the second heart sound, and the diastolic period according to physiology knowledge; and the accurate boundaries of the segmentation are detected. The algorithm was tested using normal and abnormal clinical data. The results show that the correct ratio of the algorithm is over 96%.

Key words: information processing, heart sound segmentation, Shannon entropy, heart murmur, wavelet transform

CLC Number: 

  • TN911
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