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


Vol. 42,  No. 1, pp. 162-171, Jan.  2017


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  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.

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  Cite this article

[IEEE Style]

S. Back, C. Choi, J. Kim, "Removing Baseline Drift from ECG Signal Using Smoothing Spline and Morphology Operation," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 162-171, 2017. DOI: .

[ACM Style]

Seung-Gwan Back, Chang-Hoon Choi, and Jeong-Hong Kim. 2017. Removing Baseline Drift from ECG Signal Using Smoothing Spline and Morphology Operation. The Journal of Korean Institute of Communications and Information Sciences, 42, 1, (2017), 162-171. DOI: .

[KICS Style]

Seung-Gwan Back, Chang-Hoon Choi, Jeong-Hong Kim, "Removing Baseline Drift from ECG Signal Using Smoothing Spline and Morphology Operation," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 162-171, 1. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880