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Eyes-closed hybrid brain-computer interface employing frontal brain activation

Title
Eyes-closed hybrid brain-computer interface employing frontal brain activation
Author
신재영
Keywords
EEG; NIRS; BCI; CLASSIFICATION; COMMUNICATION; OPERATE; ALS
Issue Date
2018-05
Publisher
PUBLIC LIBRARY SCIENCE
Citation
PLOS ONE, v. 13, no. 5, Article no. e0196359
Abstract
Brain-computer interfaces (BCIs) have been studied extensively in order to establish a non-muscular communication channel mainly for patients with impaired motor functions. However, many limitations remain for BCIs in clinical use. In this study, we propose a hybrid BCI that is based on only frontal brain areas and can be operated in an eyes-closed state for end users with impaired motor and declining visual functions. In our experiment, electroenceph-alography (EEG) and near-infrared spectroscopy (NIRS) were simultaneously measured while 12 participants performed mental arithmetic (MA) and remained relaxed (baseline state: BL). To evaluate the feasibility of the hybrid BCI, we classified MA-from BL-related brain activation. We then compared classification accuracies using two unimodal BCIs (EEG and NIRS) and the hybrid BCI in an offline mode. The classification accuracy of the hybrid BCI (83.9 +/- 10.3%) was shown to be significantly higher than those of unimodal EEG-based (77.3 +/- 15.9%) and NIRS-based BCI (75.9 +/- 6.3%). The analytical results confirmed performance improvement with the hybrid BCI, particularly for only frontal brain areas. Our study shows that an eyes-closed hybrid BCI approach based on frontal areas could be applied to neurodegenerative patients who lost their motor functions, including oculomotor functions.
URI
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196359https://repository.hanyang.ac.kr/handle/20.500.11754/118704
ISSN
1932-6203
DOI
10.1371/journal.pone.0196359
Appears in Collections:
RESEARCH INSTITUTE[S](부설연구소) > INSTITUTE OF BIOMEDICAL ENGINEERING(의공학연구소) > Articles
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