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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, April 2014
|
| DOI | 10.3389/fnhum.2014.00244 |
| Pubmed ID | |
| Authors |
M. Jawad Khan, Melissa Jiyoun Hong, Keum-Shik Hong |
| Abstract |
The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-signal classification that can be used in the formulation of control commands. In the present study, an experimental hybrid near-infrared spectroscopy-electroencephalography (NIRS-EEG) technique was used to extract and decode four different types of brain signals. The NIRS setup was positioned over the prefrontal brain region, and the EEG over the left and right motor cortex regions. Twelve subjects participating in the experiment were shown four direction symbols, namely, "forward," "backward," "left," and "right." The control commands for forward and backward movement were estimated by performing arithmetic mental tasks related to oxy-hemoglobin (HbO) changes. The left and right directions commands were associated with right and left hand tapping, respectively. The high classification accuracies achieved showed that the four different control signals can be accurately estimated using the hybrid NIRS-EEG technology. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Italy | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Singapore | 1 | <1% |
| Japan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 267 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 21% |
| Student > Master | 50 | 18% |
| Researcher | 36 | 13% |
| Student > Doctoral Student | 24 | 9% |
| Student > Bachelor | 22 | 8% |
| Other | 41 | 15% |
| Unknown | 44 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 94 | 34% |
| Neuroscience | 44 | 16% |
| Computer Science | 16 | 6% |
| Psychology | 15 | 5% |
| Agricultural and Biological Sciences | 12 | 4% |
| Other | 34 | 12% |
| Unknown | 61 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 08 November 2016.
All research outputs
#2,253,388
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#1,050
of 7,638 outputs
Outputs of similar age
#22,118
of 234,047 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#54
of 228 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 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 86% 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 234,047 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 90% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.