NDLI: Comparison of six envelope extraction methods based on abnormal heart sounds

Content Provider	IEEE Xplore Digital Library
Author	Lisheng Xu Ying Wang Yupeng Yao Cong Feng Yue Zhao Meng, M.Q.-H.
Copyright Year	2010
Description	Author affiliation: Department of Electronic Engineering of the Chinese, University of Hong Kong, China (Meng, M.Q.-H.) \|\| Sino-Dutch Biomedical and Information Engineering, School, Northeastern University, Shenyang, China (Lisheng Xu; Ying Wang; Yupeng Yao; Cong Feng; Yue Zhao)
Abstract	How to extract envelopes accurately is the most important problem in analyzing heart sound signals, especially for abnormal heart sound signals. An effective envelope extraction is a key to the detection of S1 and S1 periods and noise separation, moreover, for estimating the type of heart disease. This paper compares six efficient envelope extraction methods based on abnormal heart sounds, with comparisons after the envelope endpoints auto-detection and the error analysis. The result indicates that the envelope extracted with Wavelet-Hilbert-Huang transform method is the most accurate one with 97% of endpoints detection rate and 16.15 ms error margin, which can provide accurate identification for S1 and S1 durations.
Starting Page	813
Ending Page	817
File Size	264799
Page Count	5
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5639935
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Wavelet transforms Algorithm design and analysis Wavelet Endpoint detection Feature extraction Time frequency analysis Heart envelope Data mining Hilbert-Huang
Content Type	Text
Resource Type	Article

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