Introduction
Three-dimensional kinematic analysis provides quantitative and qualitative assessment of limb motion and can provide more specific information about movement components and strategies. The goal of this study was to develop basic and clinically feasible measurements that discriminated between normal and post stroke hemiplegia motor control and to find out movement characteristics of hemiplegia after stroke patients during daily task using 3-dimensional motion analysis.
Methods
This prospective study included 15 poststroke hemiparetic subjects (over 3months after stroke) and 15 healthy individuals, who were group-matched for age. We evaluated the poststroke subjects upper extremity function and impairment using Modified Ashworth scale, Fugl-Meyer Assessment (FMA), Action Research Arm Test (ARAT) and Disabilities of the Arm, Shoulder and Hand (DASH). The eight tasks were extracted that are used a lot in everyday movements (Table1). During the examination, participants were seated on a chair without a backrest in front of a table of normal height. A total of 9 spherical 12-mm retroreflective markers were placed on the upper extremity and trunk. Kinematic variables (range of motion of shoulder, elbow and wrist, linear velocity of shoulder, elbow and wrist, absolute and relative movement time during task, trunk range of motion ) were assessed using an optoelectronic motion analysis system (Qualisys Medical AB, Gothenburg, Sweden) Eight cameras (Oqus 500+, Qualysis Sweden) were used to capture trajectories of the markers at 120 Hz.
Results
Constant difference was found between hemiparetic subject and healthy individual in almost all the tasks. Compared to healty control, hemiparetic subject showed a decreased shoulder (flexion/extension), elbow (flexion/extension) and wrist range of movement during the task with slower velocity of each segment. (Table2, Fig.1-A) Increase of trunk flexion of hemiparetic subject during the taks was statistically significant compared to healty subjects. Also, there was a statistically significant amount of correlation between the increase in trunk movement and the severity of hemiplegia upper extremity impariement measured by Fugl-Meyer assessment(Fig.1-B).
Conclusion
This study revealed qunatitiative result for how hemiparetic subjects are different from healthy individual when performing daily activities. Several parameters to measure movements are well associated with the severity of impairment of hemiplegia after stroke patients. This knowledge is of great value for future researches related to hemiplegia motion in stroke.
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