International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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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)
  • Published : 2005.03.01
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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

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