International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Motor noise removal for determining gait events over treadmill walking using wavelet filter

  • Yeom, Ho-Jun (Dept. of Medical Engineering, Eulji University) ;
  • Selgrade, Brian P. (Dept. of Applied Physiology, Georgia Institute of Technology) ;
  • Chang, Young-Hui (Dept. of Applied Physiology, Georgia Institute of Technology) ;
  • Kim, Jung-Lae (Dept. of Medical Engineering, Eulji University)
  • Received : 2012.01.26
  • Published : 2012.05.31
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Abstract

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.

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References

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