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An Adaptive Method for Correction of the ECG Signal Baseline Drift Using Multiresolution Wavelet Transforms

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Biomedical Engineering Aims and scope

Different approaches to correction of the ECG signal baseline drift are compared. A new adaptive method for correction of the baseline drift is proposed. The method is based on shaping the reference signal of the adaptive filter using multiresolution wavelet transforms of the ECG signal. Different baseline drift correction methods are compared in terms of their efficiency for processing model ECG signals contaminated by baseline drift of various intensities. The accuracy of determining the ST-segment deviation in real ECG signals using different methods for the baseline drift correction is assessed.

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Authors and Affiliations

  1. Samara National Research University named after Academician S.P. Korolev, Samara, Russia

    A. A. Fedotov

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  1. A. A. Fedotov
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Correspondence to A. A. Fedotov.

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Translated from Meditsinskaya Tekhnika, Vol. 55, No. 6, Nov.-Dec., 2021, pp. 35-38.

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Fedotov, A.A. An Adaptive Method for Correction of the ECG Signal Baseline Drift Using Multiresolution Wavelet Transforms. Biomed Eng 55, 420–424 (2022). https://doi.org/10.1007/s10527-022-10149-8

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  • DOI: https://doi.org/10.1007/s10527-022-10149-8

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