A new adaptive scheme for ECG enhancement
Signal Processing
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Digital Signal Processing
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IEEE Transactions on Information Technology in Biomedicine
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IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Fast ECG baseline wander removal preserving the ST segment
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Empirical mode decomposition based ECG enhancement and QRS detection
Computers in Biology and Medicine
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LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
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ECG signal enhancement using S-Transform
Computers in Biology and Medicine
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The electrocardiogram (ECG) is widely used for diagnosis of heart diseases. Good quality ECG are utilized by physicians for interpretation and identification of physiological and pathological phenomena. However, in real situations, ECG recordings are often corrupted by artifacts. Two dominant artifacts present in ECG recordings are: (1) high-frequency noise caused by electromyogram induced noise, power line interferences, or mechanical forces acting on the electrodes; (2) baseline wander (BW) that may be due to respiration or the motion of the patients or the instruments. These artifacts severely limit the utility of recorded ECGs and thus need to be removed for better clinical evaluation. Several methods have been developed for ECG enhancement. In this paper, we propose a new ECG enhancement method based on the recently developed empirical mode decomposition (EMD). The proposed EMD-based method is able to remove both high-frequency noise and BW with minimum signal distortion. The method is validated through experiments on the MIT-BIH databases. Both quantitative and qualitative results are given. The simulations show that the proposed EMD-based method provides very good results for denoising and BW removal.