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Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, November 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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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7 X users
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1 Facebook page
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1 Wikipedia page

Citations

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84 Dimensions

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506 Mendeley
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Title
Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study
Published in
Journal of NeuroEngineering and Rehabilitation, November 2017
DOI 10.1186/s12984-017-0328-9
Pubmed ID
Authors

Daniel Perez-Marcos, Odile Chevalley, Thomas Schmidlin, Gangadhar Garipelli, Andrea Serino, Philippe Vuadens, Tej Tadi, Olaf Blanke, José d. R. Millán

Abstract

Technology-mediated neurorehabilitation is suggested to enhance training intensity and therefore functional gains. Here, we used a novel virtual reality (VR) system for task-specific upper extremity training after stroke. The system offers interactive exercises integrating motor priming techniques and embodied visuomotor feedback. In this pilot study, we examined (i) rehabilitation dose and training intensity, (ii) functional improvements, and (iii) safety and tolerance when exposed to intensive VR rehabilitation. Ten outpatient stroke survivors with chronic (>6 months) upper extremity paresis participated in a ten-session VR-based upper limb rehabilitation program (2 sessions/week). All participants completed all sessions of the treatment. In total, they received a median of 403 min of upper limb therapy, with 290 min of effective training. Within that time, participants performed a median of 4713 goal-directed movements. Importantly, training intensity increased progressively across sessions from 13.2 to 17.3 movements per minute. Clinical measures show that despite being in the chronic phase, where recovery potential is thought to be limited, participants showed a median improvement rate of 5.3% in motor function (Fugl-Meyer Assessment for Upper Extremity; FMA-UE) post intervention compared to baseline, and of 15.4% at one-month follow-up. For three of them, this improvement was clinically significant. A significant improvement in shoulder active range of motion (AROM) was also observed at follow-up. Participants reported very low levels of pain, stress and fatigue following each session of training, indicating that the intensive VR intervention was well tolerated. No severe adverse events were reported. All participants expressed their interest in continuing the intervention at the hospital or even at home, suggesting high levels of adherence and motivation for the provided intervention. This pilot study showed how a dedicated VR system could deliver high rehabilitation doses and, importantly, intensive training in chronic stroke survivors. FMA-UE and AROM results suggest that task-specific VR training may be beneficial for further functional recovery both in the chronic stage of stroke. Longitudinal studies with higher doses and sample sizes are required to confirm the therapy effectiveness. This trial was retrospectively registered at ClinicalTrials.gov database (registration number NCT03094650 ) on 14 March 2017.

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 506 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 506 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 77 15%
Student > Master 74 15%
Student > Ph. D. Student 55 11%
Researcher 37 7%
Other 23 5%
Other 69 14%
Unknown 171 34%
Readers by discipline Count As %
Nursing and Health Professions 95 19%
Neuroscience 48 9%
Medicine and Dentistry 45 9%
Engineering 38 8%
Computer Science 25 5%
Other 63 12%
Unknown 192 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 06 November 2023.
All research outputs
#4,167,425
of 24,761,242 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#223
of 1,374 outputs
Outputs of similar age
#80,765
of 442,474 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#11
of 29 outputs
Altmetric has tracked 24,761,242 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,374 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 83% 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 442,474 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 29 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 65% of its contemporaries.