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How capable is non-invasive EEG data of predicting the next movement? A mini review

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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2 X users
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2 Q&A threads

Citations

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181 Mendeley
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Title
How capable is non-invasive EEG data of predicting the next movement? A mini review
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00124
Pubmed ID
Authors

Pouya Ahmadian, Stefano Cagnoni, Luca Ascari

Abstract

In this study we summarize the features that characterize the pre-movements and pre-motor imageries (before imagining the movement) electroencephalography (EEG) data in humans from both Neuroscientists' and Engineers' point of view. We demonstrate what the brain status is before a voluntary movement and how it has been used in practical applications such as brain computer interfaces (BCIs). Usually, in BCI applications, the focus of study is on the after-movement or motor imagery potentials. However, this study shows that it is possible to develop BCIs based on the before-movement or motor imagery potentials such as the Bereitschaftspotential (BP). Using the pre-movement or pre-motor imagery potentials, we can correctly predict the onset of the upcoming movement, its direction and even the limb that is engaged in the performance. This information can help in designing a more efficient rehabilitation tool as well as BCIs with a shorter response time which appear more natural to the users.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Netherlands 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
Brazil 1 <1%
Italy 1 <1%
Taiwan 1 <1%
New Zealand 1 <1%
Unknown 170 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 26%
Student > Master 24 13%
Researcher 23 13%
Student > Bachelor 21 12%
Student > Doctoral Student 13 7%
Other 29 16%
Unknown 24 13%
Readers by discipline Count As %
Engineering 40 22%
Neuroscience 25 14%
Psychology 22 12%
Medicine and Dentistry 21 12%
Computer Science 16 9%
Other 25 14%
Unknown 32 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 April 2021.
All research outputs
#5,427,588
of 22,707,247 outputs
Outputs from Frontiers in Human Neuroscience
#2,187
of 7,125 outputs
Outputs of similar age
#56,788
of 280,717 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#328
of 862 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 69% 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 280,717 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.