Kinematic analysis and dexterity evaluation of upper extremity in activities of daily living

Chen, Wenbin; Chen, Xiong; Huang, Xiaolin; Sun, Ruiying; Xiong, Yan

doi:10.1016/j.gaitpost.2010.07.005

Cited by 49 publications

(45 citation statements)

References 18 publications

(35 reference statements)

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“…Even with our relatively small sample size, there was good consistency in our normative data with small variation from the mean, indicating consistent performance between participants without upper-limb impairment. This is in agreement with other studies examining constrained movements of the arm [2] and unconstrained upper-limb standardized tasks [1] that have also been able to demonstrate characteristic trajectories with small SDs in as few as 10 nondisabled participants. This suggests that there is a relatively tight standard range and technique used by nondisabled participants to perform defined upper-limb tasks.…”

Section: Discussionsupporting

confidence: 92%

“…Our protocol is different than other normative motion capture protocols in adult populations that have examined range of motion during ADL tasks [4,21] or a set of tasks simulating ADLs [1][2]. The advantage of task protocols that require a controlled motion task without a specific performance goal or function, such as reaching to the head, is that they result in consistent kinematics from trial to trial [1][2].…”

Section: Discussionmentioning

confidence: 99%

“…Various standardized methods for assessing upper-limb functional tasks have been proposed for defining an upper-limb motion analysis protocol with varying levels of complexity. Most authors have advocated using motions that simulate a common movement activity of daily living (ADL) task, such as drinking, combing hair or reaching hand to head [1][2][3], jar opening [4], removing a parking token [5], or reaching and placing a ball [6]. In this context, it has been found important to measure not only ranges of upper-limb joint motion but also velocity and dexterity of the motion as an overall indicator of performance [2].…”

Section: Introductionmentioning

confidence: 99%

“…Most authors have advocated using motions that simulate a common movement activity of daily living (ADL) task, such as drinking, combing hair or reaching hand to head [1][2][3], jar opening [4], removing a parking token [5], or reaching and placing a ball [6]. In this context, it has been found important to measure not only ranges of upper-limb joint motion but also velocity and dexterity of the motion as an overall indicator of performance [2]. The task may be of a cyclical or noncyclical nature, but when the task is nonconstrained, it can be difficult to assess an intervention effect due to variability in task execution [2] and different strategies used to accomplish the goal of the task [1].…”

Section: Introductionmentioning

confidence: 99%

“…In this context, it has been found important to measure not only ranges of upper-limb joint motion but also velocity and dexterity of the motion as an overall indicator of performance [2]. The task may be of a cyclical or noncyclical nature, but when the task is nonconstrained, it can be difficult to assess an intervention effect due to variability in task execution [2] and different strategies used to accomplish the goal of the task [1].…”

Section: Introductionmentioning

confidence: 99%

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Normative data for modified Box and Blocks test measuring upper-limb function via motion capture

et al. 2014

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Abstract-Motion analysis is an important tool for examining upper-limb function. Based on previous work demonstrating a modified Box and Blocks (BB) test with motion capture to assess prosthetic performance, we collected data in 16 nondisabled participants to establish normative kinematics for this test. Four motions of the modified BB test were analyzed to establish kinematic data for upper-limb and trunk motion. The test was repeated for right and left arms in standing and seated positions. Data were compared using a nonparametric Friedman test. No differences were found between right-and lefthand performance other than for task completion time. Small but significant differences were found for standing and seated performance, with slightly greater ranges in standing for axial trunk rotation, medial-lateral sternum displacement, and anterior-posterior hand displacement. The kinematic trajectories, however, were very consistent. The consistency in our nondisabled data suggests that normative kinematic trajectories can be defined for this task. This motion capture procedure may add to the understanding of movement in upper-limb impairment and may be useful for measuring the effect of interventions to improve upper-limb function.

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Section: Discussionsupporting

confidence: 92%