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http://dx.doi.org/10.5391/JKIIS.2010.20.4.574

Minimizing Algorithm of Baseline Wander for ECG Signal using Morphology-pair  

Kim, Sung-Wan (수원과학대학 컴퓨터정보과)
Kim, Se-Yun (경북대학교 전자전기컴퓨터학부)
Kim, Tae-Hun (경북대학교 전자전기컴퓨터학부)
Choi, Byung-Jae (대구대학교 전자공학부)
Park, Kil-Houm (경북대학교 전자전기컴퓨터학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.4, 2010 , pp. 574-579 More about this Journal
Abstract
The baseline wander is most fatal noise, because it obstructs reliable diagnosis of cardiac disorder. Thus, in this paper, the morphology-pair is proposed for estimation of baseline wander except P, T-wave and QRS-complex. Proposed Morphology-pair is able to except P, R, T-wave which have characteristics of local maxima. Likewise Q, S-wave such as local minima are excepted by proposed Morphology-pair. The final baseline wander eliminated ECG signal is deducted by subtraction of original ECG and estimated baseline wander. The experimental results based on the MIT/BIH database show that the proposed algorithms produce promising results.
Keywords
ECG signal; Baseline wander; Morphology-pair; Noise Elimination;
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