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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, July 2017
|
| DOI | 10.3389/fninf.2017.00045 |
| Pubmed ID | |
| Authors |
Marisol Rodríguez-Ugarte, Eduardo Iáñez, Mario Ortíz, Jose M. Azorín |
| Abstract |
The aim of this work was to design a personalized BCI model to detect pedaling intention through EEG signals. The approach sought to select the best among many possible BCI models for each subject. The choice was between different processing windows, feature extraction algorithms and electrode configurations. Moreover, data was analyzed offline and pseudo-online (in a way suitable for real-time applications), with a preference for the latter case. A process for selecting the best BCI model was described in detail. Results for the pseudo-online processing with the best BCI model of each subject were on average 76.7% of true positive rate, 4.94 false positives per minute and 55.1% of accuracy. The personalized BCI model approach was also found to be significantly advantageous when compared to the typical approach of using a fixed feature extraction algorithm and electrode configuration. The resulting approach could be used to more robustly interface with lower limb exoskeletons in the context of the rehabilitation of stroke patients. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 11% |
| United States | 1 | 11% |
| Switzerland | 1 | 11% |
| Spain | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 19% |
| Student > Bachelor | 10 | 18% |
| Student > Ph. D. Student | 8 | 14% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 18 | 32% |
| Neuroscience | 5 | 9% |
| Computer Science | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 21 July 2017.
All research outputs
#4,604,926
of 22,988,379 outputs
Outputs from Frontiers in Neuroinformatics
#247
of 752 outputs
Outputs of similar age
#80,001
of 312,555 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#4
of 18 outputs
Altmetric has tracked 22,988,379 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 752 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 67% 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 312,555 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.