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Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study

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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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164 Mendeley
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Title
Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study
Published in
Journal of NeuroEngineering and Rehabilitation, October 2017
DOI 10.1186/s12984-017-0312-4
Pubmed ID
Authors

F. Resquín, J. Gonzalez-Vargas, J. Ibáñez, F. Brunetti, I. Dimbwadyo, L. Carrasco, S. Alves, C. Gonzalez-Alted, A. Gomez-Blanco, J. L. Pons

Abstract

Brain injury survivors often present upper-limb motor impairment affecting the execution of functional activities such as reaching. A currently active research line seeking to maximize upper-limb motor recovery after a brain injury, deals with the combined use of functional electrical stimulation (FES) and mechanical supporting devices, in what has been previously termed hybrid robotic systems. This study evaluates from the technical and clinical perspectives the usability of an integrated hybrid robotic system for the rehabilitation of upper-limb reaching movements after a brain lesion affecting the motor function. The presented system is comprised of four main components. The hybrid assistance is given by a passive exoskeleton to support the arm weight against gravity and a functional electrical stimulation device to assist the execution of the reaching task. The feedback error learning (FEL) controller was implemented to adjust the intensity of the electrical stimuli delivered on target muscles according to the performance of the users. This control strategy is based on a proportional-integral-derivative feedback controller and an artificial neural network as the feedforward controller. Two experiments were carried out in this evaluation. First, the technical viability and the performance of the implemented FEL controller was evaluated in healthy subjects (N = 12). Second, a small cohort of patients with a brain injury (N = 4) participated in two experimental session to evaluate the system performance. Also, the overall satisfaction and emotional response of the users after they used the system was assessed. In the experiment with healthy subjects, a significant reduction of the tracking error was found during the execution of reaching movements. In the experiment with patients, a decreasing trend of the error trajectory was found together with an increasing trend in the task performance as the movement was repeated. Brain injury patients expressed a great acceptance in using the system as a rehabilitation tool. The study demonstrates the technical feasibility of using the hybrid robotic system for reaching rehabilitation. Patients' reports on the received intervention reveal a great satisfaction and acceptance of the hybrid robotic system. Retrospective trial registration in ISRCTN Register with study ID ISRCTN12843006 .

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 14%
Researcher 20 12%
Student > Bachelor 20 12%
Student > Master 18 11%
Student > Doctoral Student 10 6%
Other 29 18%
Unknown 44 27%
Readers by discipline Count As %
Engineering 32 20%
Medicine and Dentistry 18 11%
Nursing and Health Professions 17 10%
Psychology 9 5%
Neuroscience 8 5%
Other 24 15%
Unknown 56 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 01 May 2018.
All research outputs
#1,776,915
of 25,516,314 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#60
of 1,417 outputs
Outputs of similar age
#34,714
of 334,502 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#5
of 32 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,417 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 95% 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 334,502 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 89% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.