Zahari, Taha and Deboucha, Abdelhakim and Ahamed, Nizam Uddin and Anwar, P. P. A. Majeed and Wong, Yashim (2015) IIR Filter Order and Cut-off Frequency Influences on EMG Signal Smoothing. Biomedical Research (India), 26 (4). pp. 616-620. ISSN 0970-938X . (Published)
PDF
iir-filter-order-and-cutoff-frequency-influences-on-emg-signal-smoothing.pdf - Published Version Restricted to Repository staff only Download (121kB) | Request a copy |
Abstract
Infinite Impulse Response (IIR) filters are the fundamental signal processing technique to analyze the surface Electromyography (sEMG). These filters are defined by their particular orders (e.g. first-, second- or third-order) and the frequency they passed through. Although, EMG signals from human skeletal muscles are important to realize the muscle features, but there is no consistency found in the literature regarding the influence of different orders of the filter and cutoff frequency when processing and filtering EMG signal during lower limb (Biceps Femoris) muscle contraction. It is therefore important to know the response of muscle EMG signal after changing the order of filters and cut-off frequencies. Thus, this paper addresses the behavior of the signal patterns after varying the filter order and cut-off frequency of the filter. To record the EMG signal, one healthy male participated in this study after obtaining his informed consent and the electrodes were placed on the lower limb Biceps Femoris muscle during sit-to-stand task at a normal speed. During the signal processing, the cut-off frequency of the filter was fixed with the variation of the order of the filter. Later, the order of the filter was fixed while the cut-off frequency was varied. Finally, the results show that varying the order of filter (while frequency fixed) does not distort the EMG signal significantly, whereas varying the frequency changes the shape of the signal considerably
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Butterworth filter, cut-off frequency, filter order, smoothed signal, sEMG |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Faculty of Manufacturing Engineering |
Depositing User: | Dr. Nizam Uddin Ahamed |
Date Deposited: | 14 Dec 2015 02:47 |
Last Modified: | 22 Jan 2018 04:09 |
URI: | http://umpir.ump.edu.my/id/eprint/11579 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |