Abstract
The purpose of this study is to create effective algorithm for eliminating baseline wander from ECG signals and compare performance of different approaches for baseline wander correction. A new adaptive method for baseline wander elimination, based on reference signal composition of adaptive filter by using multiresolutional wavelet transform of noisy ECG signal, was proposed. Efficiency of different baseline wander correction methods for processing model ECG signals contaminated by baseline wander was researched. The accuracy of determining the ST-segment deviation for real ECG signals by using proposed approach in comparison with established baseline wander filtering techniques was studied. The proposed method of adaptive filtering with reference signal obtained by wavelet decomposition is distinguished from existing baseline wander correction methods by relatively high processing efficiency and small distortions of the ECG signals after filtering.
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Fedotov, A.A., Akulov, S.A., Akulova, A.S. (2018). Novel adaptive approach for correcting baseline wander from ECG signals. In: Eskola, H., Väisänen, O., Viik, J., Hyttinen, J. (eds) EMBEC & NBC 2017. EMBEC NBC 2017 2017. IFMBE Proceedings, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-10-5122-7_245
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DOI: https://doi.org/10.1007/978-981-10-5122-7_245
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