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Details van artikel 19 van 61 gevonden artikelen
| Titel: |
ECG Signal Denoising By Wavelet Transform Thresholding |
| Auteur: |
Mikhled Alfaouri Khaled Daqrouq |
| Verschenen in: |
American journal of applied sciences |
| Paginering: | Jaargang 5 (2008) nr. 3 pagina's 276-281 |
| Jaar: |
2008 |
| Inhoud: |
In recent years, ECG signal plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. In this paper a new approach based on the threshold value of ECGsignal determination is proposed using Wavelet Transform coefficients. Electrocardiography has had a profound influence on the practice of medicine. The electrocardiogram signal contains an important amount of information that can be exploited in different manners. The ECG signal allows for the analysis of anatomic and physiologic aspects of the whole cardiac muscle. Different ECG signals are used to verify the proposed method using MATLAB software. Method presented in this paper is compared with the Donoho's method for signal denoising meanwhile better results are obtained for ECG signals by the proposed algorithm. |
| Uitgever: |
Science Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 19 van 61 gevonden artikelen
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