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Design of an Adaptive Filter with a Dynamic Structure for ECG Signal Processing  

Lee Ju-Won (School of Electronic Engineering, Gyeongsang National University)
Lee Gun-Ki (School of Electronic Engineering, Gyeongsang National University)
Publication Information
International Journal of Control, Automation, and Systems / v.3, no.1, 2005 , pp. 137-142 More about this Journal
Abstract
Biomedical signals such as ECG, EMG, and EEG are extremely important in the diagnosis of patients. It is difficult to filter noise from these signals, and errors resulting from filtering can distort a biomedical signal. Existing systems have shown poor performance when complicated noise appears. Adaptive filtering is selected to contend with these defects. Existing adaptive filters can adjust the filter coefficient with the given filter order, but they can produce an unsuitable order in different environments. In order to solve this problem, an optimal adaptive filter with a dynamic structure was designed. Positive experimental results were obtained.
Keywords
Dymanic structure LMS adaptive filter; biomedical signal; electrocardiogram;
Citations & Related Records

Times Cited By Web Of Science : 16  (Related Records In Web of Science)
Times Cited By SCOPUS : 15
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