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A review of e-textiles in neurological rehabilitation: How close are we?

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, June 2016
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Title
A review of e-textiles in neurological rehabilitation: How close are we?
Published in
Journal of NeuroEngineering and Rehabilitation, June 2016
DOI 10.1186/s12984-016-0167-0
Pubmed ID
Authors

Ruth McLaren, Frances Joseph, Craig Baguley, Denise Taylor

Abstract

Textiles able to perform electronic functions are known as e-textiles, and are poised to revolutionise the manner in which rehabilitation and assistive technology is provided. With numerous reports in mainstream media of the possibilities and promise of e-textiles it is timely to review research work in this area related to neurological rehabilitation.This paper provides a review based on a systematic search conducted using EBSCO- Health, Scopus, AMED, PEDro and ProQuest databases, complemented by articles sourced from reference lists. Articles were included if the e-textile technology described had the potential for use in neurological rehabilitation and had been trialled on human participants. A total of 108 records were identified and screened, with 20 meeting the broad review inclusion criteria. Nineteen user trials of healthy people and one pilot study with stroke participants have been reported.The review identifies two areas of research focus; motion sensing, and the measurement of, or stimulation of, muscle activity. In terms of motion sensing, E-textiles appear able to reliably measure gross movement and whether an individual has achieved a predetermined movement pattern. However, the technology still remains somewhat cumbersome and lacking in resolution at present. The measurement of muscle activity and the provision of functional electrical stimulation via e-textiles is in the initial stages of development but shows potential for e-textile expansion into assistive technologies.The review identified a lack of high quality clinical evidence and, in some cases, a lack of practicality for clinical application. These issues may be overcome by engagement of clinicians in e-textile research and using their expertise to develop products that augment and enhance neurological rehabilitation practice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Switzerland 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Spain 1 <1%
Unknown 170 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 20%
Student > Ph. D. Student 31 18%
Researcher 18 10%
Student > Bachelor 16 9%
Professor 10 6%
Other 22 13%
Unknown 43 24%
Readers by discipline Count As %
Engineering 51 29%
Nursing and Health Professions 16 9%
Medicine and Dentistry 14 8%
Neuroscience 9 5%
Materials Science 7 4%
Other 26 15%
Unknown 53 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 June 2016.
All research outputs
#18,464,797
of 22,879,161 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#987
of 1,283 outputs
Outputs of similar age
#267,853
of 353,105 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#12
of 12 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 353,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.