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Clinical usefulness and validity of robotic measures of reaching movement in hemiparetic stroke patients

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2015
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Title
Clinical usefulness and validity of robotic measures of reaching movement in hemiparetic stroke patients
Published in
Journal of NeuroEngineering and Rehabilitation, August 2015
DOI 10.1186/s12984-015-0059-8
Pubmed ID
Authors

Eri Otaka, Yohei Otaka, Shoko Kasuga, Atsuko Nishimoto, Kotaro Yamazaki, Michiyuki Kawakami, Junichi Ushiba, Meigen Liu

Abstract

Various robotic technologies have been developed recently for objective and quantitative assessment of movement. Among them, robotic measures derived from a reaching task in the KINARM Exoskeleton device are characterized by their potential to reveal underlying motor control in reaching movements. The aim of this study was to examine the clinical usefulness and validity of these robot-derived measures in hemiparetic stroke patients. Fifty-six participants with a hemiparetic arm due to chronic stroke were enrolled. The robotic assessment was performed using the Visually Guided Reaching (VGR) task in the KINARM Exoskeleton, which allows free arm movements in the horizontal plane. Twelve parameters were derived based on motor control theory. The following clinical assessments were also administered: the proximal upper limb section in the Fugl-Meyer Assessment (FMA-UE(A)), the proximal upper limb part in the Stroke Impairment Assessment Set (SIAS-KM), the Modified Ashworth Scale for the affected elbow flexor muscles (MAS elbow), and seven proximal upper limb tasks in the Wolf Motor Function Test (WMFT). To explore which robotic measures represent deficits of motor control in the affected arm, the VGR parameters in the paretic arm were compared with those in the non-paretic arm using the Wilcoxon signed rank test. Then, to explore which VGR parameters were related to overall motor control regardless of the paresis, correlations between the paretic and non-paretic arms were examined. Finally, to investigate the relationships between the robotic measures and the clinical scales, correlations between the VGR parameters and clinical scales were investigated. Spearman's rank correlation coefficients were used for all correlational analyses. Eleven VGR parameters on the paretic side were significantly different from those on the non-paretic side with large effect sizes (|effect size| = 0.76-0.87). Ten VGR parameters correlated significantly with FMA-UE(A) (|r| = 0.32-0.60). Eight VGR parameters also showed significant correlations with SIAS-KM (|r| = 0.42-0.49), MAS elbow (|r| = 0.44-0.48), and the Functional Ability Scale of the WMFT (|r| = 0.52-0.64). The robot-derived measures could successfully differentiate between the paretic arm and the non-paretic arm and were valid in comparison to the well-established clinical scales.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
Unknown 184 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 20%
Researcher 30 16%
Student > Ph. D. Student 23 12%
Student > Bachelor 21 11%
Student > Doctoral Student 8 4%
Other 29 16%
Unknown 38 20%
Readers by discipline Count As %
Engineering 29 16%
Neuroscience 26 14%
Medicine and Dentistry 25 13%
Nursing and Health Professions 21 11%
Agricultural and Biological Sciences 7 4%
Other 25 13%
Unknown 53 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2015.
All research outputs
#7,365,251
of 22,821,814 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#475
of 1,279 outputs
Outputs of similar age
#87,910
of 264,494 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#10
of 19 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,279 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.