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EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century

Overview of attention for article published in Frontiers in Human Neuroscience, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
8 news outlets
policy
1 policy source
twitter
11 X users
facebook
1 Facebook page

Citations

dimensions_citation
220 Dimensions

Readers on

mendeley
449 Mendeley
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Title
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
Published in
Frontiers in Human Neuroscience, January 2018
DOI 10.3389/fnhum.2018.00014
Pubmed ID
Authors

Ioulietta Lazarou, Spiros Nikolopoulos, Panagiotis C. Petrantonakis, Ioannis Kompatsiaris, Magda Tsolaki

Abstract

People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain-computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation. Here we review the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation. We focus on the approaches intended to help severely paralyzed and locked-in patients regain communication using three different BCI modalities: slow cortical potentials, sensorimotor rhythms and P300 potentials, as operational mechanisms. We also review BCI systems for restoration of motor function in patients with spinal cord injury and chronic stroke. We discuss the advantages and limitations of these approaches and the challenges that need to be addressed in the future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 449 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 449 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 14%
Student > Master 62 14%
Student > Bachelor 59 13%
Researcher 45 10%
Student > Doctoral Student 15 3%
Other 68 15%
Unknown 136 30%
Readers by discipline Count As %
Engineering 103 23%
Neuroscience 44 10%
Computer Science 43 10%
Medicine and Dentistry 25 6%
Nursing and Health Professions 17 4%
Other 54 12%
Unknown 163 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 30 September 2023.
All research outputs
#624,998
of 25,646,963 outputs
Outputs from Frontiers in Human Neuroscience
#273
of 7,741 outputs
Outputs of similar age
#14,638
of 450,673 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#6
of 142 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,741 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done particularly well, scoring higher than 96% 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 450,673 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 96% of its contemporaries.
We're also able to compare this research output to 142 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 95% of its contemporaries.