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논문검색

ECG Artifact Removal from Surface EMG Using Adaptive filter Algorithm

초록

영어

The electrocardiography (ECG) artifact corrupts the surface electromyography (sEMG) signals recorded from the trunk area We assessed the effectiveness of three methods used to remove the ECG. We compared the performance of bandpass filtering methods, the commonly used mathematical morphology operator (MMO) method and the Adaptive filter on both simulationed and real sEMG data. False positive and false negative errors increased with larger ECG to EMG ratios for all 3 methods. However, the Adaptive filter showed better performance as compared to bandpass filtering and the MMO particularly for low signal-to-artifact ratios of a lower computational load.

목차

Abstract
 1. Introduction
 2. Methods
 3. Results
 4. Discussion
 Acknowledgements
 References

저자정보

  • Hojun Yeom Department of Biomedical Engineering, Eulji Univ., South Korea
  • UkjinYoon Mediana Inc., Wonju, South Korea

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