DocumentCode
1161835
Title
An EMG-to-force processing approach for determining ankle muscle forces during normal human gait
Author
Bogey, R.A. ; Perry, J. ; Gitter, A.J.
Author_Institution
Rehabilitation Inst. of Chicago, IL, USA
Volume
13
Issue
3
fYear
2005
Firstpage
302
Lastpage
310
Abstract
Muscle forces move our limbs. These forces must be estimated with indirect techniques, as direct measurements are neither generally possible nor practical. An electromyography (EMG)-to-force processing technique was developed. Ankle joint moments and, by extension, ankle muscle forces were calculated. The ankle moment obtained by inverse dynamics was calculated for ten normal adults during free speed gait. There was close correlation between inverse dynamics ankle moments and moments determined by the EMG-to-force processing approach. Muscle forces were determined. The gait peak Achilles tendon force occurred in late single limb support. Peak force observed (2.9 kN) closely matched values obtained where force transducers were used to obtain in vivo muscle forces (2.6 kN). The EMG-to-force processing model presented here appears to be a practical means to determine in vivo muscle forces.
Keywords
biomedical transducers; electromyography; force sensors; gait analysis; medical signal processing; EMG-to-force processing; ankle joint moments; ankle muscle forces; electromyography; force transducers; free speed gait; gait peak Achilles tendon force; inverse dynamics; normal human gait; Electromyography; Force measurement; Humans; In vivo; Kinematics; Kinetic theory; Motion analysis; Muscles; Tendons; Transducers; Adult; Algorithms; Computer Simulation; Diagnosis, Computer-Assisted; Electromyography; Gait; Humans; Locomotion; Male; Models, Biological; Muscle Contraction; Muscle, Skeletal; Reference Values; Stress, Mechanical; Torque;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2005.851768
Filename
1506817
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