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

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 b...

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Bibliographic Details
Published inBiomedical engineering Vol. 55; no. 6; pp. 420 - 424
Main Author Fedotov, A. A.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2022
Springer
Springer Nature B.V
Subjects
Adaptive filters
Analysis
Approximation
Arrhythmia
Biomaterials
Biomedical and Life Sciences
Biomedicine
Decomposition
Drift
Efficiency
EKG
Electrocardiogram
Electrocardiography
Engineering
Heart rate
Methods
Reference signals
Signal processing
Signal to noise ratio
Wavelet transforms
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Summary: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.
ISSN:0006-3398
1573-8256
DOI:10.1007/s10527-022-10149-8