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Robotic Exoskeletons: A Perspective for the Rehabilitation of Arm Coordination in Stroke Patients

Overview of attention for article published in Frontiers in Human Neuroscience, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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2 X users
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1 patent
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1 Wikipedia page

Citations

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154 Dimensions

Readers on

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386 Mendeley
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Title
Robotic Exoskeletons: A Perspective for the Rehabilitation of Arm Coordination in Stroke Patients
Published in
Frontiers in Human Neuroscience, December 2014
DOI 10.3389/fnhum.2014.00947
Pubmed ID
Authors

Nathanaël Jarrassé, Tommaso Proietti, Vincent Crocher, Johanna Robertson, Anis Sahbani, Guillaume Morel, Agnès Roby-Brami

Abstract

Upper-limb impairment after stroke is caused by weakness, loss of individual joint control, spasticity, and abnormal synergies. Upper-limb movement frequently involves abnormal, stereotyped, and fixed synergies, likely related to the increased use of sub-cortical networks following the stroke. The flexible coordination of the shoulder and elbow joints is also disrupted. New methods for motor learning, based on the stimulation of activity-dependent neural plasticity have been developed. These include robots that can adaptively assist active movements and generate many movement repetitions. However, most of these robots only control the movement of the hand in space. The aim of the present text is to analyze the potential of robotic exoskeletons to specifically rehabilitate joint motion and particularly inter-joint coordination. First, a review of studies on upper-limb coordination in stroke patients is presented and the potential for recovery of coordination is examined. Second, issues relating to the mechanical design of exoskeletons and the transmission of constraints between the robotic and human limbs are discussed. The third section considers the development of different methods to control exoskeletons: existing rehabilitation devices and approaches to the control and rehabilitation of joint coordinations are then reviewed, along with preliminary clinical results available. Finally, perspectives and future strategies for the design of control mechanisms for rehabilitation exoskeletons are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Colombia 1 <1%
Switzerland 1 <1%
Czechia 1 <1%
Brazil 1 <1%
Italy 1 <1%
Taiwan 1 <1%
Canada 1 <1%
Other 2 <1%
Unknown 373 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 24%
Student > Master 57 15%
Researcher 44 11%
Student > Bachelor 43 11%
Student > Doctoral Student 22 6%
Other 49 13%
Unknown 77 20%
Readers by discipline Count As %
Engineering 183 47%
Medicine and Dentistry 24 6%
Neuroscience 17 4%
Computer Science 14 4%
Nursing and Health Professions 12 3%
Other 47 12%
Unknown 89 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 November 2023.
All research outputs
#4,682,810
of 24,797,973 outputs
Outputs from Frontiers in Human Neuroscience
#2,071
of 7,552 outputs
Outputs of similar age
#62,776
of 372,800 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#69
of 201 outputs
Altmetric has tracked 24,797,973 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 72% 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 372,800 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 81% of its contemporaries.
We're also able to compare this research output to 201 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 66% of its contemporaries.