Denoise of ECG Based on Weighted Sum of Intrinsic Mode Functions

Denoise of ECG using weighted sum of intrinsic mode functions (IMFs) with weights determined by the distance metric between each IMF and the noise is proposed in this paper. Traditionally, approaches of the like are achieved by subtracting some IMFs directly from the noisy ECG. However, the determin...

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Bibliographic Details
Published in2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing pp. 647 - 649
Main Authors Ching-Haur Chang, Shin-Da Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
distance metric
ECG
Educational institutions
Electrocardiography
Empirical mode decomposition
intrinsic mode function
Noise
Noise measurement
Noise reduction
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Summary:Denoise of ECG using weighted sum of intrinsic mode functions (IMFs) with weights determined by the distance metric between each IMF and the noise is proposed in this paper. Traditionally, approaches of the like are achieved by subtracting some IMFs directly from the noisy ECG. However, the determination of IMFs as the subtrahends to the noisy ECG is subject to trial and error. The new approach avoids the problem of trial and error and hence is much easier to apply. Several methods for computing the distance metrics are compared in this paper. Computer simulation results show that the method performs well compared to the ones by directly subtracting some IMFs from the noisy ECG.
DOI:10.1109/IMIS.2013.116