DocumentCode
2939266
Title
A sEMG model with experimentally based simulation parameters
Author
Wheeler, Katherine A. ; Shimada, Hiroshima ; Kumar, Dinesh K. ; Arjunan, Sridhar P.
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia
fYear
2010
fDate
Aug. 31 2010-Sept. 4 2010
Firstpage
4258
Lastpage
4261
Abstract
A differential, time-invariant, surface electromyogram (sEMG) model has been implemented. While it is based on existing EMG models, the novelty of this implementation is that it assigns more accurate distributions of variables to create realistic motor unit (MU) characteristics. Variables such as muscle fibre conduction velocity, jitter (the change in the interpulse interval between subsequent action potential firings) and motor unit size have been considered to follow normal distributions about an experimentally obtained mean. In addition, motor unit firing frequencies have been considered to have non-linear and type based distributions that are in accordance with experimental results. Motor unit recruitment thresholds have been considered to be related to the MU type. The model has been used to simulate single channel differential sEMG signals from voluntary, isometric contractions of the biceps brachii muscle. The model has been experimentally verified by conducting experiments on three subjects. Comparison between simulated signals and experimental recordings shows that the Root Mean Square (RMS) increases linearly with force in both cases. The simulated signals also show similar values and rates of change of RMS to the experimental signals.
Keywords
electromyography; medical signal processing; action potential firings; biceps brachii muscle; jitter; motor unit characteristics; motor unit recruitment thresholds; muscle fibre conduction velocity; root mean square; sEMG model; single channel differential sEMG signals; surface electromyogram model; voluntary isometric contractions; Electrodes; Electromyography; Firing; Force; Mathematical model; Muscles; Recruitment; Action Potentials; Electromyography; Humans; Models, Theoretical;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location
Buenos Aires
ISSN
1557-170X
Print_ISBN
978-1-4244-4123-5
Type
conf
DOI
10.1109/IEMBS.2010.5627175
Filename
5627175
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