DocumentCode :
140188
Title :
Correlation of reaching and grasping kinematics and clinical measures of upper extremity function in persons with stroke related hemiplegia
Author :
Rohafza, Maryam ; Fluet, Gerard G. ; Qinyin Qiu ; Adamovich, Sergei
Author_Institution :
New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
3610
Lastpage :
3613
Abstract :
Timed measures of standardized functional tasks are commonly used to measure treatment effects in persons with upper extremity (UE) paresis due to stroke. The effectiveness of their ability to measure motor recovery has come into question because of their inability to distinguish between motor recovery and compensations. This paper presents three linear regression models generated from twelve kinematic measures collected during the performance of a two phase reach/grasp and transport /release activity as performed by 21 persons with upper extremity hemiparesis due to chronic stroke. One of these models demonstrated a statistically significant correlation with the subjects´ scores on the Wolf Motor Function Test (WMFT), a battery of fifteen standardized upper extremity functional activities. The second and third models demonstrated a statistically significant correlation with the subjects´ WMFT change scores elicited by a two week intensive upper extremity motor rehabilitation intervention. The high correlation suggests that models of kinematic measurements can be used to predict neurologic improvement and the effectiveness of treatment.
Keywords :
biomechanics; biomedical measurement; diseases; kinematics; patient rehabilitation; patient treatment; regression analysis; WMFT; chronic stroke; clinical measures; kinematic measurements; linear regression models; neurologic improvement; reach-grasp activity; stroke related hemiplegia; transport -release activity; upper extremity functional activity; upper extremity hemiparesis; upper extremity motor rehabilitation intervention; wolf motor function test; Correlation; Elbow; Kinematics; Predictive models; Thumb;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944404
Filename :
6944404
Link To Document :
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