title: Motor noise removal for determining gait events over treadmill walking using wavelet filter.
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.
authors.affiliation: Dept. of Medical Engineering, Eulji University, Seongnam-si, Gyounggi-do, Republic of Korea.
authors.forename: Ho Jun
authors.initials: HJ
authors.lastname: Yeom
authors.affiliation: Dept. of Applied Physiology, Georgia Institute of Technology, Atlanta, Georgia , USA.
authors.forename: Brian P
authors.initials: BP
authors.lastname: Selgrade
authors.affiliation: Dept. of Applied Physiology, Georgia Institute of Technology, Atlanta, Georgia , USA.
authors.forename: Young Hui
authors.initials: YH
authors.lastname: Chang
authors.affiliation: Dept. of Medical Engineering, Eulji University, Seongnam-si, Gyounggi-do, Republic of Korea.
authors.forename: Jung Lae
authors.initials: JL
authors.lastname: Kim
keywords: Gait; Ground reaction force; Motor noise; Treadmill; Wavelet