Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6943540 | EMBC |
Keywords | DocType | Volume |
statistical distributions,firing rate equation,m.tibialis anterior,statistical distribution,surface emg signal,conduction velocity,medical signal processing,voluntary contraction,electromyography,normalized root mean square frequency,isometric dorsiflexion,median frequency,surface electromyogram signal,signal processing | Conference | 2014 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ariba Siddiqi | 1 | 0 | 0.68 |
| D. Kumar | 2 | 26 | 4.25 |
| Sridhar Arjunan | 3 | 18 | 7.35 |