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Assisting hand function after spinal cord injury with a fabric-based soft robotic glove

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 1,294)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
158 Dimensions

Readers on

mendeley
381 Mendeley
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Title
Assisting hand function after spinal cord injury with a fabric-based soft robotic glove
Published in
Journal of NeuroEngineering and Rehabilitation, June 2018
DOI 10.1186/s12984-018-0391-x
Pubmed ID
Authors

Leonardo Cappello, Jan T. Meyer, Kevin C. Galloway, Jeffrey D. Peisner, Rachael Granberry, Diana A. Wagner, Sven Engelhardt, Sabrina Paganoni, Conor J. Walsh

Abstract

Spinal cord injury is a devastating condition that can dramatically impact hand motor function. Passive and active assistive devices are becoming more commonly used to enhance lost hand strength and dexterity. Soft robotics is an emerging discipline that combines the classical principles of robotics with soft materials and could provide a new class of active assistive devices. Soft robotic assistive devices enable a human-robot interaction facilitated by compliant and light-weight structures. The scope of this work was to demonstrate that a fabric-based soft robotic glove can effectively assist participants affected by spinal cord injury in manipulating objects encountered in daily living. The Toronto Rehabilitation Institute Hand Function Test was administered to 9 participants with C4-C7 spinal cord injuries to assess the functionality of the soft robotic glove. The test included object manipulation tasks commonly encountered during activities of daily living (ADL) and lift force measurements. The test was administered to each participant twice; once without the assistive glove to provide baseline data and once while wearing the assistive glove. The object manipulation subtests were evaluated using a linear mixed model, including interaction effects of variables such as time since injury. The lift force measures were separately evaluated using the Wilcoxon signed-rank test. The soft robotic glove improved object manipulation in ADL tasks. The difference in mean scores between baseline and assisted conditions was significant across all participants and for all manipulated objects. An improvement of 33.42 ± 15.43% relative to the maximal test score indicates that the glove sufficiently enhances hand function during ADL tasks. Moreover, lift force also increased when using the assistive soft robotic glove, further demonstrating the effectiveness of the device in assisting hand function. The results gathered in this study validate our fabric-based soft robotic glove as an effective device to assist hand function in individuals who have suffered upper limb paralysis following a spinal cord injury.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 381 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 14%
Student > Master 44 12%
Student > Bachelor 34 9%
Researcher 33 9%
Student > Doctoral Student 23 6%
Other 54 14%
Unknown 138 36%
Readers by discipline Count As %
Engineering 135 35%
Nursing and Health Professions 18 5%
Medicine and Dentistry 16 4%
Neuroscience 11 3%
Sports and Recreations 8 2%
Other 44 12%
Unknown 149 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 August 2019.
All research outputs
#556,041
of 23,092,602 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#18
of 1,294 outputs
Outputs of similar age
#13,601
of 329,253 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 30 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,294 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 particularly well, scoring higher than 98% 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 329,253 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% 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 done particularly well, scoring higher than 93% of its contemporaries.