Denoising method of heart sound signals based on self-construct heart sound wavelet
In the field of heart sound signal denoising, the wavelet transform has become one of the most effective measures. The selective wavelet basis is based on the well-known orthogonal db series or biorthogonal bior series wavelet. In this paper we present a self-construct wavelet basis which is suitabl...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2014-08-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/1.4891822 |
| _version_ | 1818130362905133056 |
|---|---|
| author | Xiefeng Cheng Zheng Zhang |
| author_facet | Xiefeng Cheng Zheng Zhang |
| author_sort | Xiefeng Cheng |
| collection | DOAJ |
| description | In the field of heart sound signal denoising, the wavelet transform has become one of the most effective measures. The selective wavelet basis is based on the well-known orthogonal db series or biorthogonal bior series wavelet. In this paper we present a self-construct wavelet basis which is suitable for the heart sound denoising and analyze its constructor method and features in detail according to the characteristics of heart sound and evaluation criterion of signal denoising. The experimental results show that the heart sound wavelet can effectively filter out the noise of the heart sound signals, reserve the main characteristics of the signal. Compared with the traditional wavelets, it has a higher signal-to-noise ratio, lower mean square error and better denoising effect. |
| first_indexed | 2024-12-11T08:03:50Z |
| format | Article |
| id | doaj.art-0ad235efbc0a45cdbb9c9259242615c5 |
| institution | Directory Open Access Journal |
| issn | 2158-3226 |
| language | English |
| last_indexed | 2024-12-11T08:03:50Z |
| publishDate | 2014-08-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | AIP Advances |
| spelling | doaj.art-0ad235efbc0a45cdbb9c9259242615c52022-12-22T01:15:03ZengAIP Publishing LLCAIP Advances2158-32262014-08-0148087108087108-910.1063/1.4891822030407ADVDenoising method of heart sound signals based on self-construct heart sound waveletXiefeng Cheng0Zheng Zhang1College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaCollege of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaIn the field of heart sound signal denoising, the wavelet transform has become one of the most effective measures. The selective wavelet basis is based on the well-known orthogonal db series or biorthogonal bior series wavelet. In this paper we present a self-construct wavelet basis which is suitable for the heart sound denoising and analyze its constructor method and features in detail according to the characteristics of heart sound and evaluation criterion of signal denoising. The experimental results show that the heart sound wavelet can effectively filter out the noise of the heart sound signals, reserve the main characteristics of the signal. Compared with the traditional wavelets, it has a higher signal-to-noise ratio, lower mean square error and better denoising effect.http://dx.doi.org/10.1063/1.4891822 |
| spellingShingle | Xiefeng Cheng Zheng Zhang Denoising method of heart sound signals based on self-construct heart sound wavelet AIP Advances |
| title | Denoising method of heart sound signals based on self-construct heart sound wavelet |
| title_full | Denoising method of heart sound signals based on self-construct heart sound wavelet |
| title_fullStr | Denoising method of heart sound signals based on self-construct heart sound wavelet |
| title_full_unstemmed | Denoising method of heart sound signals based on self-construct heart sound wavelet |
| title_short | Denoising method of heart sound signals based on self-construct heart sound wavelet |
| title_sort | denoising method of heart sound signals based on self construct heart sound wavelet |
| url | http://dx.doi.org/10.1063/1.4891822 |
| work_keys_str_mv | AT xiefengcheng denoisingmethodofheartsoundsignalsbasedonselfconstructheartsoundwavelet AT zhengzhang denoisingmethodofheartsoundsignalsbasedonselfconstructheartsoundwavelet |