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Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG

Overview of attention for article published in Frontiers in Human Neuroscience, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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29 X users
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1 patent
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2 Facebook pages
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1 Wikipedia page

Citations

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152 Dimensions

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249 Mendeley
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Title
Concealed, Unobtrusive Ear-Centered EEG Acquisition: cEEGrids for Transparent EEG
Published in
Frontiers in Human Neuroscience, April 2017
DOI 10.3389/fnhum.2017.00163
Pubmed ID
Authors

Martin G. Bleichner, Stefan Debener

Abstract

Electroencephalography (EEG) is an important clinical tool and frequently used to study the brain-behavior relationship in humans noninvasively. Traditionally, EEG signals are recorded by positioning electrodes on the scalp and keeping them in place with glue, rubber bands, or elastic caps. This setup provides good coverage of the head, but is impractical for EEG acquisition in natural daily-life situations. Here, we propose the transparent EEG concept. Transparent EEG aims for motion tolerant, highly portable, unobtrusive, and near invisible data acquisition with minimum disturbance of a user's daily activities. In recent years several ear-centered EEG solutions that are compatible with the transparent EEG concept have been presented. We discuss work showing that miniature electrodes placed in and around the human ear are a feasible solution, as they are sensitive enough to pick up electrical signals stemming from various brain and non-brain sources. We also describe the cEEGrid flex-printed sensor array, which enables unobtrusive multi-channel EEG acquisition from around the ear. In a number of validation studies we found that the cEEGrid enables the recording of meaningful continuous EEG, event-related potentials and neural oscillations. Here, we explain the rationale underlying the cEEGrid ear-EEG solution, present possible use cases and identify open issues that need to be solved on the way toward transparent EEG.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Unknown 247 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 18%
Student > Ph. D. Student 40 16%
Student > Master 32 13%
Student > Bachelor 18 7%
Student > Doctoral Student 13 5%
Other 30 12%
Unknown 70 28%
Readers by discipline Count As %
Engineering 61 24%
Psychology 32 13%
Neuroscience 27 11%
Medicine and Dentistry 14 6%
Computer Science 12 5%
Other 19 8%
Unknown 84 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 25 May 2022.
All research outputs
#1,368,487
of 24,226,848 outputs
Outputs from Frontiers in Human Neuroscience
#640
of 7,440 outputs
Outputs of similar age
#27,781
of 313,791 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#24
of 192 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 91% 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 313,791 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 91% of its contemporaries.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.