An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform
| Autor: | Oussama El B’charri, Azzedine Dliou, Ahmed Toumanari, Rachid Latif, Wissam Jenkal, F. M. R. Maoulainine |
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| Rok vydání: | 2016 |
| Předmět: |
Discrete wavelet transform
business.industry Noise reduction 0206 medical engineering Biomedical Engineering Pattern recognition Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Filter (signal processing) 020601 biomedical engineering Power (physics) Adaptive filter Line (geometry) 0202 electrical engineering electronic engineering information engineering Dual threshold 020201 artificial intelligence & image processing Artificial intelligence Ecg signal business Mathematics |
| Zdroj: | Biocybernetics and Biomedical Engineering. 36:499-508 |
| ISSN: | 0208-5216 |
| DOI: | 10.1016/j.bbe.2016.04.001 |
| Popis: | This paper proposes an efficient method of ECG signal denoising using the adaptive dual threshold filter (ADTF) and the discrete wavelet transform (DWT). The aim of this method is to bring together the advantages of these methods in order to improve the filtering of the ECG signal. The aim of the proposed method is to deal with the EMG noises, the power line interferences and the high frequency noises that could perturb the ECG signal. This algorithm is based on three steps of denoising, namely, the DWT decomposition, the ADTF step and the highest peaks correction step. This paper presents certain applications of this algorithm on some of the MIT-BIH Arrhythmia database's signals. The results of these applications allow observing the high performance of the proposed method comparing to some other techniques recently published. |
| Databáze: | OpenAIRE |
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