Rehab Centers: Development of Computer Games for Assessment and Training in Post-Stroke Arm Telerehabilitation.

Development of computer games for assessment and training in post-stroke arm telerehabilitation.

Filed under: Rehab Centers

Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4571-4
Rodriguez-de-Pablo C, Perry JC, Cavallaro FI, Zabaleta H, Keller T

Stroke is the leading cause of long term disability among adults in industrialized nations. The majority of these disabilities include deficiencies in arm function, which can make independent living very difficult. Research shows that better results in rehabilitation are obtained when patients receive more intensive therapy. However this intensive therapy is currently too expensive to be provided by the public health system, and at home few patients perform the repetitive exercises recommended by their therapists. Computer games can provide an affordable, enjoyable, and effective way to intensify treatment, while keeping the patient as well as their therapists informed about their progress. This paper presents the study, design, implementation and user-testing of a set of computer games for at-home assessment and training of upper-limb motor impairment after stroke.
HubMed – rehab


Classification of hand preshaping in persons with stroke using Linear Discriminant Analysis.

Filed under: Rehab Centers

Conf Proc IEEE Eng Med Biol Soc. 2012 Aug; 2012: 4563-6
Puthenveettil S, Fluet G, Qiu Q, Adamovich S

Objective: This study describes the analysis of hand preshaping using Linear Discriminant Analysis (LDA) to predict hand formation during reaching and grasping tasks of the hemiparetic hand, following a series of upper extremity motor intervention treatments. The purpose of this study is to use classification of hand posture as an additional tool for evaluating the effectiveness of therapies for upper extremity rehabilitation such as virtual reality (VR) therapy and conventional physical therapy. Classification error for discriminating between two objects during hand preshaping is obtained for the hemiparetic and unimpaired hands pre and post training. Methods: Eight subjects post stroke participated in a two-week training session consisting of upper extremity motor training. Four subjects trained with interactive VR computer games and four subjects trained with clinical physical therapy procedures of similar intensity. Subjects’ finger joint angles were measured during a kinematic reach to grasp test using CyberGlove(®) and arm joint angles were measured using the trackSTAR™ system prior to training and after training. Results: The unimpaired hand of subjects preshape into the target object with greater accuracy than the hemiparetic hand as indicated by lower classification errors. Hemiparetic hand improved in preshaping accuracy and time to reach minimum error. Conclusion: Classification of hand preshaping may provide insight into improvements in motor performance elicited by robotically facilitated virtually simulated training sessions or conventional physical therapy.
HubMed – rehab


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