Abstract
This study tested our mathematical model's ability to predict isometric forces for children with spinal cord injuries. The model accounted more than 95% of the variance in the experimental forces produced by stimulation trains with mean frequencies from 12.5 to 100 Hz for both non-fatigued and fatigued muscles. The ability of the model to predict forces suggests its use for the identification of optimal activation patterns during functional electrical stimulation.
| Original language | English (US) |
|---|---|
| Title of host publication | Bioengineering, Proceedings of the Northeast Conference |
| Editors | K Moxon, D E Sherif, S Kanakasabai |
| Pages | 21-22 |
| Number of pages | 2 |
| State | Published - 2002 |
| Externally published | Yes |
| Event | IEEE 28th Annual Northeast Bioengineering Conference - Philadelphia, PA, United States Duration: Apr 20 2002 → Apr 21 2002 |
Other
| Other | IEEE 28th Annual Northeast Bioengineering Conference |
|---|---|
| Country | United States |
| City | Philadelphia, PA |
| Period | 4/20/02 → 4/21/02 |
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ASJC Scopus subject areas
- Chemical Engineering(all)
Cite this
A predictive model of muscle forces for children with spinal cord injuries. / Ding, J.; Wexler, A. S.; Lee, S. C K; Binder-Macleod, S. A.
Bioengineering, Proceedings of the Northeast Conference. ed. / K Moxon; D E Sherif; S Kanakasabai. 2002. p. 21-22.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A predictive model of muscle forces for children with spinal cord injuries
AU - Ding, J.
AU - Wexler, A. S.
AU - Lee, S. C K
AU - Binder-Macleod, S. A.
PY - 2002
Y1 - 2002
N2 - This study tested our mathematical model's ability to predict isometric forces for children with spinal cord injuries. The model accounted more than 95% of the variance in the experimental forces produced by stimulation trains with mean frequencies from 12.5 to 100 Hz for both non-fatigued and fatigued muscles. The ability of the model to predict forces suggests its use for the identification of optimal activation patterns during functional electrical stimulation.
AB - This study tested our mathematical model's ability to predict isometric forces for children with spinal cord injuries. The model accounted more than 95% of the variance in the experimental forces produced by stimulation trains with mean frequencies from 12.5 to 100 Hz for both non-fatigued and fatigued muscles. The ability of the model to predict forces suggests its use for the identification of optimal activation patterns during functional electrical stimulation.
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UR - http://www.scopus.com/inward/citedby.url?scp=0036072317&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0036072317
SP - 21
EP - 22
BT - Bioengineering, Proceedings of the Northeast Conference
A2 - Moxon, K
A2 - Sherif, D E
A2 - Kanakasabai, S
ER -