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Treffer: Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery.

Title:
Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery.
Source:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society [IEEE Trans Neural Syst Rehabil Eng] 2018 Jan; Vol. 26 (1), pp. 60-68.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: IEEE Country of Publication: United States NLM ID: 101097023 Publication Model: Print Cited Medium: Internet ISSN: 1558-0210 (Electronic) Linking ISSN: 15344320 NLM ISO Abbreviation: IEEE Trans Neural Syst Rehabil Eng Subsets: MEDLINE
Imprint Name(s):
Original Publication: Piscataway, NJ : IEEE, c2001-
Entry Date(s):
Date Created: 20180112 Date Completed: 20190201 Latest Revision: 20190201
Update Code:
20250114
DOI:
10.1109/TNSRE.2017.2769686
PMID:
29324403
Database:
MEDLINE

Weitere Informationen

A large proportion of users do not achieve adequate control using current non-invasive brain-computer interfaces (BCIs). This issue has being coined "BCI-Illiteracy" and is observed among different BCI modalities. Here, we compare the performance and the BCI-illiteracy rate of a tactile selective sensation (SS) and motor imagery (MI) BCI, for a large subject samples. We analyzed 80 experimental sessions from 57 subjects with two-class SS protocols. For SS, the group average performance was 79.8 ± 10.6%, with 43 out of the 57 subjects (75.4%) exceeding the 70% BCI-illiteracy threshold for left- and right-hand SS discrimination. When compared with previous results, this tactile BCI outperformed all other tactile BCIs currently available. We also analyzed 63 experimental sessions from 43 subjects with two-class MI BCI protocols, where the group average performance was 77.2 ± 13.3%, with 69.7% of the subjects exceeding the 70% performance threshold for left- and right-hand MI. For within-subject comparison, the 24 subjects who participated to both the SS and MI experiments, the BCI performance was superior with SS than MI especially in beta frequency band (p < 0.05), with enhanced R <sup>2</sup> discriminative information in the somatosensory cortex for the SS modality. Both SS and MI showed a functional dissociation between lower alpha ([8 10] Hz) and upper alpha ([10 13] Hz) bands, with BCI performance significantly better in the upper alpha than the lower alpha (p < 0.05) band. In summary, we demonstrated that SS is a promising BCI modality with low BCI illiteracy issue and has great potential in practical applications reaching large population.