Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6090296 | EMBC |
Keywords | Field | DocType |
medical robotics,biomechanics,lower limb physical rehabilitation,motion trajectory calculation,robotic treatment programs,patient foot,musculoskeletal model,leg joint stiffness,robot trajectory planning,physiological models,patient rehabilitation,genetic algorithm,genetic algorithms,manipulators,medical computing,motion trajectory spline curves,generated muscle forces,splines (mathematics),lower limb rehabilitation,musculotendon actuators,trajectory,foot,force,robots | Spline (mathematics),Joint stiffness,Rehabilitation,Computer science,Simulation,Biomechanics,Robot,Trajectory,Genetic algorithm,Actuator | Conference |
Volume | ISSN | ISBN |
2011 | 1557-170X | 978-1-4244-4122-8 |
Citations | PageRank | References |
3 | 1.19 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y Pei | 1 | 4 | 1.89 |
| Yeongmi Kim | 2 | 129 | 15.61 |
| G Obinata | 3 | 15 | 4.16 |
| Kazunori Hase | 4 | 53 | 9.46 |
| D Stefanov | 5 | 9 | 2.21 |