NDLI: Daubechies wavelet decomposition based baseline wander correction of trans-abdominal maternal ECG

Content Provider	IEEE Xplore Digital Library
Author	Chowdhury, S.R. Chakrabarti, D.
Copyright Year	2010
Description	Author affiliation: Om HealthNet Telemedicine Pvt. Ltd, Kolkata, India (Chakrabarti, D.) \|\| IIIT Hyderabad, Hyderabad, India (Chowdhury, S.R.)
Abstract	The paper presents an improved morphological approach for baseline wander correction in trans-abdominal electrocardiogram (ECG) signals, with emphasis on preserving all required clinical information of the original signal. The algorithm consists of morphological processing of sampled ECG signal using $9^{th}$ order Daubechies wavelet transform. The morphological operators are applied to extract the baseline drift of the trans-abdominal ECG signal of a pregnant subject. The baseline signal is then subtracted from the input signal to leave a baseline normalized signal. The proposed algorithm has been successfully applied on the trans-abdominal ECG of a pregnant subject where the ECG signal has suffered considerable baseline drift due to excessive respiration as well as skeletal muscular contraction. For a quantitative validation of the estimation procedures, 10 ECG with artificial baseline drift were constructed and analyzed by correlation and mean square error calculations. Using the proposed $9^{th}$ order Daubechies wavelet decomposition technique, the mean square error after baseline correction has been found to be less than 1%. Compared with all existing morphological methods, there is a substantial improvement in reducing distortion of the baseline waveform in any part of the signal.
Starting Page	630
Ending Page	633
File Size	838741
Page Count	4
File Format	PDF
ISBN	9781424462773
e-ISBN	9781424462803
DOI	10.1109/ICELCE.2010.5700772
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-18
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Noise Pregnancy Wavelet transforms Lead Monitoring Daubechies Wavelet Decomposition Electrocardiogram baseline wander trans-abdominal
Content Type	Text
Resource Type	Article

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