A new modified wavelet-based ECG denoising
Purpose: Wavelet denoising is one of the denoising methods commonly used for ECG signals. However, due to the frequency overlap between the EMG and ECG, the feeble characteristics of ECG signals exists the risk of being weakened in the process of filtering noise. This paper presents a method of modi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-10-01
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| Series: | Computer Assisted Surgery |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/24699322.2018.1560088 |
| _version_ | 1818040042103242752 |
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| author | Zhaoyang Wang Junjiang Zhu Tianhong Yan Lulu Yang |
| author_facet | Zhaoyang Wang Junjiang Zhu Tianhong Yan Lulu Yang |
| author_sort | Zhaoyang Wang |
| collection | DOAJ |
| description | Purpose: Wavelet denoising is one of the denoising methods commonly used for ECG signals. However, due to the frequency overlap between the EMG and ECG, the feeble characteristics of ECG signals exists the risk of being weakened in the process of filtering noise. This paper presents a method of modified wavelet design and applies it to the denoising of ECG signals. Materials and methods: The optimized filter coefficients are obtained by approximating the amplitude-frequency response of the ideal filter, and the wavelet is constructed with the optimized filter coefficients. The algorithm is tested by clinical ECG data. Results: The results show that the proposed denoising method can remove the high-frequency noise effectively and enhance the characteristic information of P waves and T waves, and retain the characteristic information of the atrial fibrillation signals simultaneously. Compared with db4 and sym4 wavelets, the proposed wavelet can improve the signal to noise ratio and reduce the mean square error effectively at the same time. Conclusion: The modified wavelet design method proposed in this paper can effectively remove high-frequency noise while retaining and enhancing weak features. It provides a theoretical guidance for the de-noising of ECG signals in mobile medicine and also provides a way for other types of weak feature signal denoising. |
| first_indexed | 2024-12-10T08:08:14Z |
| format | Article |
| id | doaj.art-e3d736b55d4744b0805489cad16789c5 |
| institution | Directory Open Access Journal |
| issn | 2469-9322 |
| language | English |
| last_indexed | 2024-12-10T08:08:14Z |
| publishDate | 2019-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Computer Assisted Surgery |
| spelling | doaj.art-e3d736b55d4744b0805489cad16789c52022-12-22T01:56:38ZengTaylor & Francis GroupComputer Assisted Surgery2469-93222019-10-0124017418310.1080/24699322.2018.15600881560088A new modified wavelet-based ECG denoisingZhaoyang Wang0Junjiang Zhu1Tianhong Yan2Lulu Yang3China Jiliang universityChina Jiliang universityChina Jiliang universityChina Jiliang universityPurpose: Wavelet denoising is one of the denoising methods commonly used for ECG signals. However, due to the frequency overlap between the EMG and ECG, the feeble characteristics of ECG signals exists the risk of being weakened in the process of filtering noise. This paper presents a method of modified wavelet design and applies it to the denoising of ECG signals. Materials and methods: The optimized filter coefficients are obtained by approximating the amplitude-frequency response of the ideal filter, and the wavelet is constructed with the optimized filter coefficients. The algorithm is tested by clinical ECG data. Results: The results show that the proposed denoising method can remove the high-frequency noise effectively and enhance the characteristic information of P waves and T waves, and retain the characteristic information of the atrial fibrillation signals simultaneously. Compared with db4 and sym4 wavelets, the proposed wavelet can improve the signal to noise ratio and reduce the mean square error effectively at the same time. Conclusion: The modified wavelet design method proposed in this paper can effectively remove high-frequency noise while retaining and enhancing weak features. It provides a theoretical guidance for the de-noising of ECG signals in mobile medicine and also provides a way for other types of weak feature signal denoising.http://dx.doi.org/10.1080/24699322.2018.1560088ECG signalsatrial fibrillation signalsmodified waveletwavelet denoisingEMG interference |
| spellingShingle | Zhaoyang Wang Junjiang Zhu Tianhong Yan Lulu Yang A new modified wavelet-based ECG denoising Computer Assisted Surgery ECG signals atrial fibrillation signals modified wavelet wavelet denoising EMG interference |
| title | A new modified wavelet-based ECG denoising |
| title_full | A new modified wavelet-based ECG denoising |
| title_fullStr | A new modified wavelet-based ECG denoising |
| title_full_unstemmed | A new modified wavelet-based ECG denoising |
| title_short | A new modified wavelet-based ECG denoising |
| title_sort | new modified wavelet based ecg denoising |
| topic | ECG signals atrial fibrillation signals modified wavelet wavelet denoising EMG interference |
| url | http://dx.doi.org/10.1080/24699322.2018.1560088 |
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