Abstract:
: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.
journal_name
Comput Assist Surg (Abingdon)journal_title
Computer assisted surgery (Abingdon, England)authors
Wang Z,Zhu J,Yan T,Yang Ldoi
10.1080/24699322.2018.1560088keywords:
["ECG signals","EMG interference","atrial fibrillation signals","modified wavelet","wavelet denoising"]subject
Has Abstractpub_date
2019-10-01 00:00:00pages
174-183issue
sup1issn
2469-9322journal_volume
24pub_type
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