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http://dx.doi.org/10.7840/kics.2017.42.1.162

Removing Baseline Drift from ECG Signal Using Smoothing Spline and Morphology Operation  

Back, Seung-Gwan (Kyungpook National University The Graduate School Department of Computer Information)
Choi, Chang-Hoon (Kyungpook National University Department of Computer Software)
Kim, Jeong-Hong (Kyungpook National University School of Computer Science)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.1, 2017 , pp. 162-171 More about this Journal
Abstract
Low frequency noise components causes the baseline drift in the ECG signals. In this paper, a morphological operation and smoothing spline technique are used for ECG signal processing in order to accomplish baseline correction. Removing the baseline drift from ECG signal using morphology operation, the feature of original signal may be distorted. To resolve this distortion problem, we applied a smoothing spline operation after morphology operation. In order to compare with existing morphology operation method for baseline correction, we apply proposed method to ECG data in MIT/BIH database. Compared to other existing method, our proposed method achieved low data distortion on the original signal.
Keywords
Baseline Drift; ECG Signal; Smoothing Spline; Morphology;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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