NDLI: Wavelet packet based features for insufficient murmur identification

Content Provider	IEEE Xplore Digital Library
Author	Samjin Choi Young-Kyun Shin Youjin Cheong Gi-Ja Lee Hun-Kuk Park
Copyright Year	2010
Description	Author affiliation: Department of Biomedical Engineering & Healthcare Industry Research Institute, College of Medicine, Kyung Hee, University, Seoul, Korea (Samjin Choi; Youjin Cheong; Gi-Ja Lee; Hun-Kuk Park) \|\| Department of Electrical Engineering, Yuhan University, Bucheon, Korea (Young-Kyun Shin)
Abstract	This paper presents a new analysis method for aortic and mitral insufficient murmurs using wavelet packet decomposition. We proposed four diagnostic features including the maximum peak frequency, the position index of the wavelet packet coefficient corresponding to the maximum peak frequency, and the ratios of the wavelet energy and entropy information to achieve greater accuracy for detection of heart murmurs. The proposed wavelet packet based insufficient murmur analysis method was validated by some case studies. We employed a thresholding scheme to discriminate between insufficient murmurs and control sounds. Three hundred 32 heart sounds with 126 control and 206 murmur cases were acquired from four healthy volunteers and 47 patients who suffered from heart defects. Control sounds were recorded by applying a wireless electric stethoscope system to subjects with no history of other heart complications. Insufficient murmurs were grouped into two valvular heart defect categories, aortic and mitral. These murmur subjects had no other coexistent valvular defects. The proposed insufficient murmur detection method yielded a high classification efficiency of 99.78% specificity and 99.43% sensitivity.
Starting Page	1184
Ending Page	1187
File Size	848647
Page Count	4
File Format	PDF
ISBN	9781424474530
e-ISBN	9788993215021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-27
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	IEEE International Conference on Control & Automation
Subject Keyword	Heart Insufficient murmur Heart sound Wavelet packet Valves Time frequency analysis Energy and entropy Entropy Wavelet packets Artificial intelligence Wavelet packet coefficient Frequency control
Content Type	Text
Resource Type	Article

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