A model for generating surface EMG signal of m. Tibialis Anterior

Siddiqi, A, Kumar, D and Poosapadi Arjunan, S 2014, 'A model for generating surface EMG signal of m. Tibialis Anterior', in Zhi-Pei Liang, Xiaochuan Pan, Leslie Ying (ed.) Proceedings of the 36th Annual International Conference of the Engineering in Medicine and Biology Society, Chicago, United States, 26-30 August 2014, pp. 106-109.


Document type: Conference Paper
Collection: Conference Papers

Title A model for generating surface EMG signal of m. Tibialis Anterior
Author(s) Siddiqi, A
Kumar, D
Poosapadi Arjunan, S
Year 2014
Conference name EMBC 2014: 36th Annual International Conference of the Engineering in Medicine and Biology Society
Conference location Chicago, United States
Conference dates 26-30 August 2014
Proceedings title Proceedings of the 36th Annual International Conference of the Engineering in Medicine and Biology Society
Editor(s) Zhi-Pei Liang, Xiaochuan Pan, Leslie Ying
Publisher IEEE
Place of publication United States
Start page 106
End page 109
Total pages 4
Abstract A model that simulates surface electromyogram (sEMG) signal of m.Tibialis Anterior has been developed and tested. This has a firing rate equation that is based on experimental findings. It also has a recruitment threshold that is based on observed statistical distribution. Importantly, it has considered both, slow and fast type which has been distinguished based on their conduction velocity. This model has assumed that the deeper unipennate half of the muscle does not contribute significantly to the potential induced on the surface of the muscle and has approximated the muscle to have parallel structure. The model was validated by comparing the simulated and the experimental sEMG signal recordings. Experiments were conducted on eight subjects who performed isometric dorsiflexion at 10, 20, 30, 50, 75, and 100% maximal voluntary contraction. Normalized root mean square and median frequency of the experimental and simulated EMG signal were computed and the slopes of the linearity with the force were statistically analyzed. The gradients were found to be similar (p>0.05) for both experimental and simulated sEMG signal, validating the proposed model.
Subjects Signal Processing
Rehabilitation Engineering
DOI - identifier 10.1109/EMBC.2014.6943540
Copyright notice © 2014 IEEE
ISBN 9781424479290
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