DocumentCode
2470064
Title
Trajectory planning of a robot for lower limb rehabilitation
Author
Pei, Y. ; Kim, Y. ; Obinata, G. ; Hase, K. ; Stefanov, D.
Author_Institution
Grad. Sch. of Eng., Nagoya Univ. Furo-cho, Nagoya, Japan
fYear
2011
fDate
Aug. 30 2011-Sept. 3 2011
Firstpage
1259
Lastpage
1263
Abstract
We introduce a method for lower-limb physical rehabilitation by means of a robot that applies preliminary defined forces to a patient´s foot while moving it on a preliminary defined trajectory. We developed a special musculoskeletal model that takes into consideration the generated muscle forces of 27 musculotendon actuators and joint stiffness of the leg and allows the calculation of the motion trajectory of the robot and the forces that the robot needs to apply to the foot in each moment of the therapeutic exercise. Robotic treatment programs are customized for the individual patient by using a genetic algorithm (GA) that refers to the musculoskeletal model and calculates the parameters of the spline curves of the motion trajectory of the robot and forces acting on the foot.
Keywords
biomechanics; genetic algorithms; manipulators; medical computing; medical robotics; patient rehabilitation; physiological models; splines (mathematics); generated muscle forces; genetic algorithm; leg joint stiffness; lower limb physical rehabilitation; lower limb rehabilitation; motion trajectory calculation; motion trajectory spline curves; musculoskeletal model; musculotendon actuators; patient foot; robot trajectory planning; robotic treatment programs; Foot; Force; Joints; Knee; Muscles; Robots; Trajectory; Computer Simulation; Humans; Leg; Man-Machine Systems; Models, Biological; Motion Therapy, Continuous Passive; Movement; Movement Disorders; Muscle Contraction; Muscle, Skeletal; Robotics; Therapy, Computer-Assisted;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location
Boston, MA
ISSN
1557-170X
Print_ISBN
978-1-4244-4121-1
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2011.6090296
Filename
6090296
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