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Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions

Overview of attention for article published in Frontiers in Human Neuroscience, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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20 X users
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1 patent
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1 Facebook page
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1 Redditor

Citations

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76 Dimensions

Readers on

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167 Mendeley
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Title
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions
Published in
Frontiers in Human Neuroscience, October 2017
DOI 10.3389/fnhum.2017.00503
Pubmed ID
Authors

Sangtae Ahn, Sung C. Jun

Abstract

Multi-modal integration, which combines multiple neurophysiological signals, is gaining more attention for its potential to supplement single modality's drawbacks and yield reliable results by extracting complementary features. In particular, integration of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) is cost-effective and portable, and therefore is a fascinating approach to brain-computer interface (BCI). However, outcomes from the integration of these two modalities have yielded only modest improvement in BCI performance because of the lack of approaches to integrate the two different features. In addition, mismatch of recording locations may hinder further improvement. In this literature review, we surveyed studies of the integration of EEG/fNIRS in BCI thoroughly and discussed its current limitations. We also suggested future directions for efficient and successful multi-modal integration of EEG/fNIRS in BCI systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 167 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 23%
Student > Master 27 16%
Researcher 18 11%
Student > Bachelor 12 7%
Student > Doctoral Student 8 5%
Other 21 13%
Unknown 43 26%
Readers by discipline Count As %
Engineering 47 28%
Neuroscience 25 15%
Computer Science 8 5%
Medicine and Dentistry 6 4%
Psychology 6 4%
Other 20 12%
Unknown 55 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 January 2024.
All research outputs
#2,364,452
of 25,382,250 outputs
Outputs from Frontiers in Human Neuroscience
#1,095
of 7,670 outputs
Outputs of similar age
#44,143
of 333,921 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#23
of 143 outputs
Altmetric has tracked 25,382,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,670 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 85% 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 333,921 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 86% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.