A Robust Envelope Extraction Algorithm for Cardiac Sound Signal Segmentation
This paper presented a new method of envelope extraction algorithms based on wavelet for cardiac sound signal segmentation. In this paper, a new method based on Morlet wavelet is proposed to extract the energy envelope of heart sound. Noise can be decomposed to a different frequency channel for smoo...
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Published in | 2011 5th International Conference on Bioinformatics and Biomedical Engineering pp. 1 - 5 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2011
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Subjects | |
Online Access | Get full text |
ISBN | 9781424450886 1424450888 |
ISSN | 2151-7614 |
DOI | 10.1109/icbbe.2011.5781655 |
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Abstract | This paper presented a new method of envelope extraction algorithms based on wavelet for cardiac sound signal segmentation. In this paper, a new method based on Morlet wavelet is proposed to extract the energy envelope of heart sound. Noise can be decomposed to a different frequency channel for smoothing, thereby reducing the impact of noise. And then physiological criteria of time interval, the ratio of systolic and diastolic duration and phonocardiogram (PCG) collecting position are employed to differentiate S1 and S2. The experiment results show that this envelope extraction algorithm is more sensitive (morlet detection rate of 88.29% versus 66.77% of Hilbert method) in processing signals with low ratio of S/N (signal/noise). This indicates that our method is more robust for heart sound signal detection. |
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AbstractList | This paper presented a new method of envelope extraction algorithms based on wavelet for cardiac sound signal segmentation. In this paper, a new method based on Morlet wavelet is proposed to extract the energy envelope of heart sound. Noise can be decomposed to a different frequency channel for smoothing, thereby reducing the impact of noise. And then physiological criteria of time interval, the ratio of systolic and diastolic duration and phonocardiogram (PCG) collecting position are employed to differentiate S1 and S2. The experiment results show that this envelope extraction algorithm is more sensitive (morlet detection rate of 88.29% versus 66.77% of Hilbert method) in processing signals with low ratio of S/N (signal/noise). This indicates that our method is more robust for heart sound signal detection. |
Author | Lisha Zhong Xingming Guo An Ji Xiaorong Ding |
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Snippet | This paper presented a new method of envelope extraction algorithms based on wavelet for cardiac sound signal segmentation. In this paper, a new method based... |
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SubjectTerms | Band pass filters Feature extraction Heart Noise Sensitivity Wavelet analysis Wavelet transforms |
Title | A Robust Envelope Extraction Algorithm for Cardiac Sound Signal Segmentation |
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