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Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke
Published in
Journal of NeuroEngineering and Rehabilitation, October 2017
DOI 10.1186/s12984-017-0315-1
Pubmed ID
Authors

Ophélie Pila, Christophe Duret, François-Xavier Laborne, Jean-Michel Gracies, Nicolas Bayle, Emilie Hutin

Abstract

When exploring changes in upper limb kinematics and motor impairment associated with motor recovery in subacute post stroke during intensive therapies involving robot-assisted training, it is not known whether trained joints improve before non-trained joints and whether target reaching capacity improves before movement accuracy. Twenty-two subacute stroke patients (mean delay post-stroke at program onset 63 ± 29 days, M2) underwent 50 ± 17 (mean ± SD) 45-min sessions of robot-assisted (InMotion™) shoulder/elbow training over 3 months, in addition to conventional occupational therapy. Monthly evaluations (M2 to M5) included Fugl-Meyer Assessment (FM), with subscores per joint, and four robot-based kinematic measures: mean target distance covered, mean velocity, direction accuracy (inverse of root mean square error from straight line) and movement smoothness (inverse of mean number of zero-crossings in the velocity profile). We assessed delays to reach statistically significant improvement for each outcome measure. At M5, all clinical and kinematic parameters had markedly improved: Fugl-Meyer, +65% (median); distance covered, +87%; mean velocity, +101%; accuracy, +134%; and smoothness, +96%. Delays to reach statistical significance were M3 for the shoulder/elbow Fugl-Meyer subscore (+43%), M4 for the hand (+80%) and M5 for the wrist (+133%) subscores. For kinematic parameters, delays to significant improvements were M3 for distance (+68%), velocity (+65%) and smoothness (+50%), and M5 for accuracy (+134%). An intensive rehabilitation program combining robot-assisted shoulder/elbow training and conventional occupational therapy was associated with improvement in shoulder and elbow movements first, which suggests focal behavior-related brain plasticity. Findings also suggested that recovery of movement quantity related parameters (range of motion, velocity and smoothness) might precede that of movement quality (accuracy). EudraCT 2016-005121-36 . Date of Registration: 2016-12-20. Date of enrolment of the first participant to the trial: 2009-11-24 (retrospective data).

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 15%
Student > Master 24 14%
Student > Bachelor 19 11%
Researcher 14 8%
Other 9 5%
Other 24 14%
Unknown 51 31%
Readers by discipline Count As %
Nursing and Health Professions 36 22%
Neuroscience 16 10%
Medicine and Dentistry 14 8%
Engineering 14 8%
Psychology 5 3%
Other 18 11%
Unknown 63 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 April 2019.
All research outputs
#2,907,277
of 23,005,189 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#151
of 1,290 outputs
Outputs of similar age
#57,620
of 325,897 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#8
of 30 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,290 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 done well, scoring higher than 88% 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 325,897 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.