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(A Design of Adaptive Neural Network Filter to Remove the Baseline Wander of ECG)  

Lee, Geon-Gi (Dept.of Eletronics Engineering, Gyeongsang National University)
Kim, Yeong-Il (Dept.of Eletronics Engineering, Gyeongsang National University)
Lee, Ju-Won (Dept.of Eletronics Engineering, Gyeongsang National University)
Jo, Won-Rae (Pohang College)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.39, no.1, 2002 , pp. 76-84 More about this Journal
Abstract
In this paper, it is studied to remove the baseline wander and to minimize the distortion of ST segment in the noise filtering of ECG. In general, the standard filter and adaptive filter are used to remove the baseline wander of the ECG. But the standard filter is limited because the frequency of the baseline signal is variable and the apative filter is difficult to select the reference signal in case of using the adaptive filter. So we proposed a new method of the structure without reference signal using neural networks. To be convinced of the performance of this method, we used ECG data of MIT-BIHs. and obtained the result of the high performance,(-53.3[dB]) than standard filter(-16.3[dB]) and adaptive filter (-44.9[dB]).
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