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Motor noise removal for determining gait events over treadmill walking using wavelet filter
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  • Motor noise removal for determining gait events over treadmill walking using wavelet filter
  • Motor noise removal for determining gait events over treadmill walking using wavelet filter
저자명
Yeom. Ho-Jun,Selgrade. Brian P.,Chang. Young-Hui,Kim. Jung-Lae
간행물명
Journal of Advanced Smart Convergence(JASC)
권/호정보
2012년|1권 1호|pp.48-51 (4 pages)
발행정보
한국인터넷방송통신학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

The conventional method for filtering force plate data, low-pass filtering, does not always give accurate results when applied to force data from a custom-made, instrumented treadmill. Therefore, this study compares low-pass filtered data to the same data passed through a wavelet filter. We collected data with the treadmill running. However these include motor noise with ground reaction force at two force plates. We found that he proposed wavelet method eliminated motor noise to result in more accurate force plate data than the conventional low-pass filter, particularly at high speed motor operation. In this study we suggested the convolution wavelet (CNW) which was compared to that of a low-pass filter. The CNW showed better performance as compared to band-pass filtering particularly for low signal-to-noise ratios, and a lower computational load.