Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
By
Xie Yi
Xie Yi
Search for other works by this author on:
ISBN:
9780791802977
No. of Pages:
2012
Publisher:
ASME Press
Publication date:
2009

Biomedical signal recordings are affected by different kinds of noise that make their interpretation difficult. In this paper, we present a comparative study of some wavelet functions in the denoising of phonocardiogram (PCG) signals. In particular, we consider the Daubechies of order 4, 6, 8, 10 and 15, Coiflets of order 3, 4, 5 and finally Symlets 10 (sym 10). The performance of these wavelets is based on the measurement of the signal-to-noise Ratio (SNR) of the denoised signal as well as the Mean Square Error (MSE) between the original noisy signal and its denoised counterpart. The results indicate that Daubechies of order 10 (db10) outperform other wavelet functions and, consequently, are potential candidates in the characterization of abnormal PCG signal.

Abstract
Key Words
1 Introduction
2. Wavelet Analysis
3 Denoising Process
4. Experimental Results and Discussion
5. Conclusion
References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal