Evidence map›Paper›PMID 30042671›Full record

ArticleFrontiers in neuroinformatics2018

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

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Elena NavarroLoUISE Research Group, Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain.
Pascual GonzálezLoUISE Research Group, Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain.
Víctor López-JaqueroLoUISE Research Group, Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain.
Francisco MonteroLoUISE Research Group, Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain.
José P MolinaLoUISE Research Group, Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain.
Dulce Romero-AyusoDepartment of Physical Therapy, Occupational Therapy Division, Faculty of Health Sciences, University of Granada, Granada, Spain.
University of Castilla-La Mancha · ESUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

adaptivebrain-computing interfacesfuzzy-systemmultisensorialphysiologicalsocialtelerehabilitationvirtual reality

Identifiers

PMID30042671
PMCPMC6049338
OpenAlexW2808610475

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.