Evaluation of Position Based Cueing Strategies for Bilateral Robotic Assessment and Therapy after Stroke
RESNA (Rehabilitation Engineering and Assertive Technology Society of North America)
2007 RESNA Conference, Phoenix, AZ
Stroke is the leading cause of disability in the United States. Hemiparesis, affecting the majority of the subjects, leads to other related process like learned non-use, which compromises the affected individual's functionality. Many current therapy techniques do not incorporate new research which point towards involvement of both arms in a synchronous, bimanual but decoupled environment to achieve maximum recovery. A novel method of robotic therapy, using position based cues, was tested on able-bodied individuals with strong handed preferences as a model for stroke survivors with severe arm bias due to learned non-use, to verify the effectiveness in assessing and changing in the short term their hand preference. The reduction in non-dominant arm error in a significant number of subjects shows this method can be used as a useful model for future therapy techniques using robotic systems.
Karnik, Shantanu; Johnson, Michelle J.; and Scheidt, Robert A., "Evaluation of Position Based Cueing Strategies for Bilateral Robotic Assessment and Therapy after Stroke" (2007). Biomedical Engineering Faculty Research and Publications. 241.