Integrating kinematic modeling and kinetics to quantify hand motor performance in persons with stroke

Document Type

Conference Proceeding

Publication Date

6-29-2012

Abstract

Objective: This study describes the design and testing of a system designed to quantify improvement in reaching and grasping abilities of the hemiparetic arm and hand of patients post stroke after a series of interactive virtual reality (VR) simulated training sessions. Methods: Five subjects post stroke participated in a two-week training session consisting of interactive computer games for 2-2.5 hours per session. 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. Downward force applied to the object during grasping was measured using a force sensor system. Results: There was a significant decrease in force applied to objects when grasping post VR training and an improvement in preshaping the hand during the transport phase. Conclusion: A system utilizing magnetic trackers, a data glove, and a force sensor may be sensitive to changes in motor performance elicited by a robotically facilitated, virtually simulated motor intervention. © 2012 IEEE.

Identifier

84862735471 (Scopus)

ISBN

[9781467311410]

Publication Title

2012 38th Annual Northeast Bioengineering Conference Nebec 2012

External Full Text Location

https://doi.org/10.1109/NEBC.2012.6207083

First Page

299

Last Page

300

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