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Adaptive, Multisensorial, Physiological and Social: The Next Generation of Telerehabilitation Systems

Overview of attention for article published in Frontiers in Neuroinformatics, July 2018
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Adaptive, Multisensorial, Physiological and Social: The Next Generation of Telerehabilitation Systems
Published in
Frontiers in Neuroinformatics, July 2018
DOI 10.3389/fninf.2018.00043
Pubmed ID
Authors

Elena Navarro, Pascual González, Víctor López-Jaquero, Francisco Montero, José P. Molina, Dulce Romero-Ayuso

Abstract

Some people require special treatments for rehabilitating physical, cognitive or even social capabilities after an accident or degenerative illness. However, the ever-increasing costs of looking after an aging population, many of whom suffer chronic diseases, is straining the finances of healthcare systems around Europe. This situation has given rise to a great deal of attention being paid to the development of telerehabilitation (TR) systems, which have been designed to take rehabilitation beyond hospitals and care centers. In this article, we propose which features should be addressed in the development of TR systems, that is, they should consider adaptive, multisensorial, physiological and social aspects. For this aim, the research project Vi-SMARt is being conducted for evaluating whether and how different technologies, such as virtual reality (VR), multi-sensorial feedback, or telemonitoring, may be exploited for the development of the next generation of TR systems. Beyond traditional aural and visual feedback, the exploitation of haptic sense by using devices such as haptic gloves or wristbands, can provide patients with additional guidance in the rehabilitation process. For telemonitoring, Electroencephalography (EEG) devices show signs of being a promising approach, not only to monitor patients' emotions, but also to obtain neuro-feedback useful for controlling his/her interaction with the system and thus to provide a better rehabilitation experience.

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X Demographics

The data shown below were collected from the profiles of 4 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 14%
Student > Master 11 11%
Researcher 10 10%
Student > Bachelor 7 7%
Student > Doctoral Student 6 6%
Other 25 24%
Unknown 30 29%
Readers by discipline Count As %
Medicine and Dentistry 12 12%
Psychology 11 11%
Computer Science 9 9%
Neuroscience 9 9%
Engineering 9 9%
Other 20 19%
Unknown 33 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 July 2018.
All research outputs
#8,683,064
of 25,732,188 outputs
Outputs from Frontiers in Neuroinformatics
#404
of 848 outputs
Outputs of similar age
#136,558
of 340,355 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#14
of 24 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 848 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 50% 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 340,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.