A predictive model of muscle forces for children with spinal cord injuries

J. Ding; A. S. Wexler; S. C K Lee; S. A. Binder-Macleod

A predictive model of muscle forces for children with spinal cord injuries

J. Ding, A. S. Wexler, S. C K Lee, S. A. Binder-Macleod

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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/Territory	United States
City	Philadelphia, PA
Period	4/20/02 → 4/21/02

ASJC Scopus subject areas

Chemical Engineering(all)

Cite this

@inproceedings{c5188f1f3fd0422ba527920de00a3d3d,

title = "A predictive model of muscle forces for children with spinal cord injuries",

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.",

author = "J. Ding and Wexler, {A. S.} and Lee, {S. C K} and Binder-Macleod, {S. A.}",

year = "2002",

language = "English (US)",

pages = "21--22",

editor = "K Moxon and Sherif, {D E} and S Kanakasabai",

booktitle = "Bioengineering, Proceedings of the Northeast Conference",

note = "IEEE 28th Annual Northeast Bioengineering Conference ; Conference date: 20-04-2002 Through 21-04-2002",

}

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.

UR - http://www.scopus.com/inward/record.url?scp=0036072317&partnerID=8YFLogxK

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

T2 - IEEE 28th Annual Northeast Bioengineering Conference

Y2 - 20 April 2002 through 21 April 2002

ER -

A predictive model of muscle forces for children with spinal cord injuries

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this