DocumentCode
3188267
Title
Evaluating motor performance after stroke with a custom MR-conditional upper extremity reach and grasp system
Author
Xu, Rubing ; Johnson, Michelle J.
Author_Institution
Dept. of Biomed. Eng., Marquette Univ., Milwaukee, WI, USA
fYear
2012
fDate
24-27 June 2012
Firstpage
1995
Lastpage
2000
Abstract
We developed an MR conditional upper extremity reach and grasp movement evaluation (UE R/G) system to evaluate the reach and grasp movements of stroke survivors before and after robot-assisted practice of activities of daily living. This paper describes reaching motor performance of 12 low and high functioning stroke survivors using UE R/G with some comparison made to reach-to-grasp task. A model is presented that correlates recovery level measured with standard clinical assessment tools with kinematic measures of motor performance derived from analyzing movement trajectories captured by the UE R/G system. We examined one subject´s movements measured by the UE R/G system inside and outside a 3.0 Tesla Magnetic Scanning environment and saw high correlations. The results demonstrate the utility of the MR-conditional UE R/G system to be multi-purpose tool for measurement of motor performance during fMRI activities. This should allow better correlation to any brain activation changes seen during the performance of these tasks.
Keywords
biomedical MRI; control engineering computing; medical image processing; medical robotics; patient rehabilitation; MR conditional upper extremity reach and grasp movement evaluation system; UE R-G system; activities of daily living; brain activation changes; fMRI activities; functional magnetic resonance imaging; magnetic scanning environment; motor performance evaluation; motor performance kinematic measures; reach-to-grasp task; recovery level; robot-assisted practice; stroke survivors; Apertures; Biomedical measurements; Correlation; Elbow; Kinematics; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
Conference_Location
Rome
ISSN
2155-1774
Print_ISBN
978-1-4577-1199-2
Type
conf
DOI
10.1109/BioRob.2012.6290818
Filename
6290818
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