Correction of baseline drift from the ECG by an efficient multiresolution analysis algorithm

Desai, Usha and Nayak, Gurudas C (2014) Correction of baseline drift from the ECG by an efficient multiresolution analysis algorithm. International Journal of Advanced Information Science and Technology (IJAIST) , 31 (31). pp. 5-9. ISSN 2319:2682

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Abstract

Elimination of baseline drift is required in order to minimize the changes in electrocardiogram beat morphology. Particularly, low-frequency ST-T segment measures are strongly affected by the baseline artifact. This paper presents an efficient algorithm for baseline drift correction using wavelet transform multiresolution analysis, this can be achieved by: i) subband decomposition of the ECG into approximation and detail coefficients, ii) clearing the approximations at baseline drift frequency range, and iii) subband reconstruction. Performance of the algorithm is quantitatively evaluated using signal-to-noise ratio (SNR) and mean square error (MSE) criteria. The method is validated through experiments on the MIT–BIH database and simulated in MATLAB environment.

Item Type: Article
Uncontrolled Keywords: Discrete wavelet transform, dyadic sampling electrocardiogram, mother wavelet, multiresolution analysis
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 01 Jun 2015 08:47
Last Modified: 01 Jun 2015 08:47
URI: http://eprints.manipal.edu/id/eprint/142873

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