DocumentCode :
45641
Title :
Electromyogram Bandwidth Requirements When the Signal is Whitened
Author :
Dasog, Meera ; Koirala, Kishor ; Pu Liu ; Clancy, Edward A.
Author_Institution :
Worcester Polytech. Inst., Worcester, MA, USA
Volume :
22
Issue :
3
fYear :
2014
fDate :
May-14
Firstpage :
664
Lastpage :
670
Abstract :
Whitening the surface electromyogram (EMG) improves EMG amplitude (EMGσ) and EMG-torque estimation. Laboratory studies utilizing contraction levels up to maximum voluntary contraction (MVC) show that whitening is useful over a frequency band extending to 1000-2000 Hz. However, EMG electrode systems with such wide bandwidth are uncommon, particularly in real-time applications; and these contraction levels are also not common. Thus, we studied the influence of the frequency band over which whitening was performed versus the resulting performance. Low-level, torque-varying contractions (average torque level of 18.5% flexion MVC) of the elbow were contrasted with medium-level 50% MVC constant-torque contractions. For each, the maximum whitening bandwidth was varied between 30-2000 Hz. The low-level contractions (which incorporate the contraction range of most daily tasks) showed that performance utilizing frequencies out to 400-500 Hz was not statistically different than results out to the full available frequency (2000 Hz). For the medium-level (50% MVC) contractions, frequencies out to 800-900 Hz were statistically equivalent to the full bandwidth. These results suggest that conventional electrodes with a typical passband of ~ 500 Hz are appropriate when whitening data from contraction levels typically experienced in many applications. Wider bandwidths may be advantageous for strenuous activities.
Keywords :
electromyography; medical signal processing; EMG amplitude; EMG electrode systems; EMG-torque estimation; electromyogram bandwidth requirements; frequency 30 Hz to 2000 Hz; frequency band effects; low level contractions; low level, torque varying contractions; maximum voluntary contraction; sEMG signal whitening; surface electromyogram signal; whitened signal; Bandwidth; Cutoff frequency; Electrodes; Electromyography; Signal to noise ratio; Torque; Biological system modeling; EMG signal processing; biomedical signal processing; electromyogram (EMG) amplitude estimation; electromyography; whitening;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2013.2283403
Filename :
6626608
Link To Document :
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