Wavelet Transform and Simplicity based Heart Murmur Segmentation
Authors
Abstract
This paper is aimed at the identification of the boundariesof murmur present in heart sound. Heart murmurs
provide crucial diagnosis information for several heart
diseases such as natural and prosthetic valve dysfunction
and heart failure. In order to find the valuable information
about abnormal heart behavior, segmentation of the heart
murmurs has to be performed. In this work we solve this
problem using the wavelet decomposition-simplicity filter.
In this algorithm, simplicity of the wavelet decomposed
heart sound signal is measured and adaptively thresholded
in order to discriminate between S1/S2 sounds from murmurs.
The method has been tested with stenosis and regurgitation
(aortic, mitral, pulmonary, tricuspid) heart sounds
and 89.10% sensitivity and 95.50 % specificity have been
achieved.
Keywords
Heart Murmur Detection, Heart Sound SegmentationSubject
Biomedical EngineeringRelated Project
IST FP6 MyHeartConference
Computers in Cardiology, September 2006Cited by
Year 2013 : 7 citations
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Year 2012 : 4 citations
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Year 2010 : 2 citations
• James Ning, Nikolay Atanasov, "Delineation of Systolic and Diastolic Heart Murmurs via Wavelet Transform and Autoregressive Modeling", International Journal of Bioelectromagnetism, Vol. 12, No. 3, pp. 114 - 120, 2010
• Taikang Ning; Chia-Wei Huang; Rong-Huei Chen; Ting-Yu Ho; Kai-Sheng Hsieh; Heart murmur detection and configuration estimation using wavelet transform and linear fit, Signal Processing (ICSP), 2010 IEEE 10th International Conference on, pp. 1-4, 2010
Year 2009 : 4 citations
• Ning, J.; Atanasov, N.; Taikang Ning; Quantitative analysis of heart sounds and systolic heart murmurs using wavelet transform and AR modeling, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009. EMBC 2009. 958-961, 2009.
• Ying-Wen Bai , Cheng-Hsiang Yeh, Design and Implementation of a Remote Embedded DSP Stethoscope with a Method for Judging Heart Murmur, I2MTC 2009 - International Instrumentation and Measurement Technology Conference Singapore, 5-7 May 2009
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Year 2008 : 7 citations
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• Nikolay Atanasov and Taikang Ning, “Isolation of Systolic Heart Murmurs Using Wavelet Transform and Energy Index”, in Proc. Of Congress on Image and Signal Processing, 2008
• Sepideh Babaei, Amir Geranmayeh, Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals, Computers in Biology and Medicine, 2008.