DocumentCode
2086789
Title
Gait planning and double support phase model for functional electrical stimulation-based walking
Author
Sharma, Neelam ; Stein, Robert
Author_Institution
Dept. of Physiol., Univ. of Alberta, Edmonton, AB, Canada
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
1904
Lastpage
1907
Abstract
Joint or segment angle trajectories of able-bodied persons are often recorded or mimicked as reference trajectories for walking restoration in paraplegia. In this paper, lower limb segment angle trajectories are computed from simple mathematical models developed to represent functional electrical stimulation (FES) and a novel brace based walking. The new models incorporate the double support and single support phases of walking. Dynamic optimization is utilized to design walking trajectories that minimize muscle activations and arm reaction forces generated from the walker. Compared to the voluntary walking trajectories, the new trajectories are more representative of FES-based walking as only a limited number of muscle are stimulated to compute walking trajectories.
Keywords
biomechanics; medical computing; medical disorders; neuromuscular stimulation; optimisation; physiological models; FES based walking; arm reaction force minimisation; brace based walking; double support phase model; dynamic optimization; functional electrical stimulation; gait planning; joint angle trajectories; lower limb segment angle trajectories; mathematical models; muscle activation minimisation; paraplegia; reference trajectories; walking restoration; Digital signal processing; Hip; Joints; Knee; Legged locomotion; Mathematical model; Trajectory; Electric Stimulation; Gait; Humans; Leg; Models, Theoretical; Thigh; Torque; Walking;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6346325
Filename
6346325
Link To Document