| Autor: |
Abdullah, Ahmed Kareem, Hamed, Hadi A., Albakry, Ali A. Abdullah, Wadday, Ahmed Ghanim |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3002 Issue 1, p1-9, 9p |
| Abstrakt: |
Separating the baseline wander interface signal from data Electrocardiogram (ECG) signals is critical for a proper diagnosis of heart disease. The reducing or eliminating baseline wander is representing one of the important topic in ECG signal processing. This interface signal has a low frequency according to data ECG signal, and causing the doctor's judgment on myocardial ischemia skewed. The ECG is represented by sparse data signals, whereas low-frequency indicators represent the baseline wander. The Ant Colony Algorithm is used with efficient independent component analysis in the proposed work to improve the separation of baseline wander interface signal from raw ECG data. This work creates a new method for reducing the influence baseline wander in ECG readings by combining efficient independent analysis with the Ant Colony Algorithm. The main advantage of the suggested technique over the old method is that it isolates all the essential data without filtering it out of the raw ECG signal. The result is computed using MATLAB (Ver. 2021) and accurate data from Massachusetts Institute of Technology (MIT-BIH). Another contribution is the first time the Ant colony method has been used to evaluate ECG signal analysis with efficient independent research. The obtained results demonstrated that this method is highly effective in removing baseline wander interference signals, the signal to interface ratio is enhanced from -7.346 to -4.022 by using proposed work instead of classical Fast independent analysis for simulated data. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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