원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.7 No2
2012.05
pp.533-538
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
1. Introduction
2. Methods
3. Results
4. Discussion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보
