Comparison of robotic and clinical motor function improvement measures for sub-acute stroke patients

被引:7
|
作者
Celik, Ozkan [1 ]
O'Malley, Marcia K. [1 ]
Boake, Corwin [2 ]
Levin, Harvey [3 ]
Fischer, Steven [4 ]
Reistetter, Timothy [5 ]
机构
[1] Rice Univ, Dept Mech Engn & Mat Sci, Houston, TX 77005 USA
[2] Univ Texas Houston, Health Sci Ctr, Houston, TX 77030 USA
[3] Baylor Coll Med, Cognit Neurosci Lab, Houston, TX 77030 USA
[4] Inst Rehabilitat Res TIRR, Houston, TX 77030 USA
[5] East Carolina Univ, Dept Occupat Therapy, Greenville, NC 27858 USA
来源
2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-9 | 2008年
关键词
rehabilitation robotics; stroke measures; motor function recovery; haptic assistance;
D O I
10.1109/ROBOT.2008.4543585
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, preliminary results in motor function improvement for four sub-acute stroke patients that underwent a hybrid robotic and traditional rehabilitation program are presented. The therapy program was scheduled for three days a week, four hours per day (approximately 60% traditional constraint induced therapy activities and 40% robotic therapy). A haptic joystick was used to implement four different operating modes for robotic therapy: unassisted (U), constrained (C), assisted (A), and resisted (R) modes. A target hitting task involving the positioning of a pointer on twelve targets was completed by the patients. Two different robotic measures were utilized to quantify the motor function improvement through the sessions: trajectory error (TE) and smoothness of movement (SM). Fugl-Meyer (FM) and Motor Activity Log (MAL) scales were used as clinical measures. Analysis of results showed that the group demonstrates a significant motor function improvement with respect to both clinical and robotic measures. Regression analyses were carried out on corresponding clinical and robotic measure result pairs. A significant relation between FM scale and robotic measures was found for both of the analyzed modes. Regression of robotic measures on MAL scores resulted in no significance. A regression analysis that compared the two clinical measures revealed a very low agreement. Our findings suggest that it might be possible to obtain objective robotic measures that are significantly correlated to widely-used and reliable clinical measures in considerably different operating modes and control schemes.
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页码:2477 / +
页数:2
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