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Biofeedback in rehabilitation

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, January 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 1,219)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
17 news outlets
twitter
18 tweeters
facebook
7 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
318 Dimensions

Readers on

mendeley
1076 Mendeley
citeulike
1 CiteULike
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Title
Biofeedback in rehabilitation
Published in
Journal of NeuroEngineering and Rehabilitation, January 2013
DOI 10.1186/1743-0003-10-60
Pubmed ID
Authors

Oonagh M Giggins, Ulrik Persson, Brian Caulfield

Abstract

This paper reviews the literature relating to the biofeedback used in physical rehabilitation. The biofeedback methods used in rehabilitation are based on biomechanical measurements and measurements of the physiological systems of the body. The physiological systems of the body which can be measured to provide biofeedback are the neuromuscular system, the respiratory system and the cardiovascular system. Neuromuscular biofeedback methods include electromyography (EMG) biofeedback and real-time ultrasound imaging (RTUS) biofeedback. EMG biofeedback is the most widely investigated method of biofeedback and appears to be effective in the treatment of many musculoskeletal conditions and in post cardiovascular accident (CVA) rehabilitation. RTUS biofeedback has been demonstrated effective in the treatment of low back pain (LBP) and pelvic floor muscle dysfunction. Cardiovascular biofeedback methods have been shown to be effective in the treatment of a number of health conditions such as hypertension, heart failure, asthma, fibromyalgia and even psychological disorders however a systematic review in this field has yet to be conducted. Similarly, the number of large scale studies examining the use of respiratory biofeedback in rehabilitation is limited. Measurements of movement, postural control and force output can be made using a number of different devices and used to deliver biomechanical biofeedback. Inertial based sensing biofeedback is the most widely researched biomechanical biofeedback method, with a number of studies showing it to be effective in improving measures of balance in a number of populations. Other types of biomechanical biofeedback include force plate systems, electrogoniometry, pressure biofeedback and camera based systems however the evidence for these is limited. Biofeedback is generally delivered using visual displays, acoustic or haptic signals, however more recently virtual reality (VR) or exergaming technology have been used as biofeedback signals. VR and exergaming technology have been primarily investigated in post-CVA rehabilitation, however, more recent work has shown this type of biofeedback to be effective in improving exercise technique in musculoskeletal populations. While a number of studies in this area have been conducted, further large scale studies and reviews investigating different biofeedback applications in different clinical populations are required.

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,076 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Brazil 5 <1%
Germany 4 <1%
France 3 <1%
Spain 3 <1%
Netherlands 2 <1%
Portugal 2 <1%
Australia 1 <1%
Austria 1 <1%
Other 5 <1%
Unknown 1044 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 201 19%
Student > Bachelor 178 17%
Student > Ph. D. Student 155 14%
Researcher 89 8%
Student > Doctoral Student 70 7%
Other 201 19%
Unknown 182 17%
Readers by discipline Count As %
Medicine and Dentistry 209 19%
Engineering 208 19%
Nursing and Health Professions 140 13%
Sports and Recreations 58 5%
Neuroscience 52 5%
Other 178 17%
Unknown 231 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 April 2021.
All research outputs
#219,865
of 20,678,629 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#9
of 1,219 outputs
Outputs of similar age
#1,618
of 172,408 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 21 outputs
Altmetric has tracked 20,678,629 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,219 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 99% 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 172,408 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 99% of its contemporaries.
We're also able to compare this research output to 21 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 99% of its contemporaries.