TY - JOUR
T1 - Normalized movement quality measures for therapeutic robots strongly correlate with clinical motor impairment measures
AU - Celik, Ozkan
AU - O'Malley, Marcia K.
AU - Boake, Corwin
AU - Levin, Harvey S.
AU - Yozbatiran, Nuray
AU - Reistetter, Timothy A.
N1 - Funding Information:
Manuscript received June 21, 2009; revised November 02, 2009; accepted December 31, 2009. First published April 12, 2010; current version published August 11, 2010. This work was supported in part by a grant from the Vivian L. Smith Foundation, in part by a grant from Mission Connect, in part by the National Science Foundation under Grant IIS-0812569 and Grant IIS-0448341, and in part by the National Institutes of Health under Grant K12-HD055929. This work was presented in part at the IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, 2008.
PY - 2010/8
Y1 - 2010/8
N2 - In this paper, we analyze the correlations between four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) and four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed), used to assess motor recovery. Data were gathered as part of a hybrid robotic and traditional upper extremity rehabilitation program for nine stroke patients. Smoothness of movement and trajectory error, temporally and spatially normalized measures of movement quality defined for point-to-point movements, were found to have significant moderate to strong correlations with all four of the clinical measures. The strong correlations suggest that smoothness of movement and trajectory error may be used to compare outcomes of different rehabilitation protocols and devices effectively, provide improved resolution for tracking patient progress compared to only pre- and post-treatment measurements, enable accurate adaptation of therapy based on patient progress, and deliver immediate and useful feedback to the patient and therapist.
AB - In this paper, we analyze the correlations between four clinical measures (Fugl-Meyer upper extremity scale, Motor Activity Log, Action Research Arm Test, and Jebsen-Taylor Hand Function Test) and four robotic measures (smoothness of movement, trajectory error, average number of target hits per minute, and mean tangential speed), used to assess motor recovery. Data were gathered as part of a hybrid robotic and traditional upper extremity rehabilitation program for nine stroke patients. Smoothness of movement and trajectory error, temporally and spatially normalized measures of movement quality defined for point-to-point movements, were found to have significant moderate to strong correlations with all four of the clinical measures. The strong correlations suggest that smoothness of movement and trajectory error may be used to compare outcomes of different rehabilitation protocols and devices effectively, provide improved resolution for tracking patient progress compared to only pre- and post-treatment measurements, enable accurate adaptation of therapy based on patient progress, and deliver immediate and useful feedback to the patient and therapist.
KW - Haptic feedback
KW - motor function recovery
KW - movement intermittency
KW - rehabilitation robotics
KW - stroke measures
KW - therapeutic robots
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U2 - 10.1109/TNSRE.2010.2047600
DO - 10.1109/TNSRE.2010.2047600
M3 - Article
C2 - 20388607
AN - SCOPUS:77955648377
SN - 1534-4320
VL - 18
SP - 433
EP - 444
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
IS - 4
M1 - 5446376
ER -