Motility Evaluation of a Novel Overground Functional Mobility Tool for Post Stroke Rehabilitation
James L. Patton, David A. Brown, E. Lewis, G. Crombie, Jessé da Rosa Matoso dos Santos, Alex Makhlin, J. Edward Colgate, Michael A. Peshkin
- Year
- 2007
- Citations
- 9
Abstract
The KineAssist is a robotic device that allows the therapist to safely interact with and challenge a patient as they train in whole body dynamic-balance tasks such as sit to stand or gait. The design and development of the KineAssist proceeded rapidly as a startup product of a small company. Here we briefly restate the KineAssist's motivation, design, and use, and then present an initial evaluation of the alpha-prototype's performance on healthy and stroke survivors. The studies showed that sacral marker trajectories were slower but otherwise not significantly changed in amplitude when using the device. The KineAssist therefore yields a safe environment for training functional mobility tasks, and these results identify a promising method of safely challenging patients to exert more effort while maintaining natural kinematic ranges of motion.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002