Myographic Interference Filtering from ECG Signals Using Multiresolution Wavelet Transform
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Use of the multiresolution wavelet transform for the processing of ECG signals corrupted by myographic interference is considered. The influence of wavelet transform parameters on the ECG distortion level after processing is studied. The optimal parameters of the multiresolution wavelet transform are determined using criteria for minimizing distortions of processed ECG signals as compared to a model ECG signal free from interference.
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- 1.Rangayyan, R. M., Biomedical Signal Analysis: A Case-Study Approach, Wiley-IEEE Press (2002).Google Scholar
- 2.Kalakutiskii, L. I. And Manelis, E. S., Equipment and Methods for Clinical Monitoring [in Russian], Vysshaya Shkola, Moscow (2004).Google Scholar
- 3.Fedotov, A. A. and Akulov, S. A., Measuring Transducers of Biomedical Signals for Clinical Monitoring Systems [in Russian], Radio i Svyaz’, Moscow (2013).Google Scholar