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Evaluation of a Compact Hybrid Brain-Computer Interface System

Title
Evaluation of a Compact Hybrid Brain-Computer Interface System
Author
신재영
Keywords
MOTOR IMAGERY; EEG; NIRS; BCI; REHABILITATION; CLASSIFICATION; STATE; PERFORMANCE; ARTIFACTS; FNIRS
Issue Date
2017-03
Publisher
HINDAWI LTD
Citation
BIOMED RESEARCH INTERNATIONAL, Article no. 6820482
Abstract
We realized a compact hybrid brain-computer interface (BCI) system by integrating a portable near-infrared spectroscopy (NIRS) device with an economical electroencephalography (EEG) system. The NIRS array was located on the subjects' forehead, covering the prefrontal area. The EEG electrodes were distributed over the frontal, motor/temporal, and parietal areas. The experimental paradigm involved a Stroop word-picture matching test in combination with mental arithmetic (MA) and baseline (BL) tasks, in which the subjects were asked to perform either MA or BL in response to congruent or incongruent conditions, respectively. We compared the classification accuracies of each of the modalities (NIRS or EEG) with that of the hybrid system. We showed that the hybrid system outperforms the unimodal EEG and NIRS systems by 6.2% and 2.5%, respectively. Since the proposed hybrid system is based on portable platforms, it is not confined to a laboratory environment and has the potential to be used in real-life situations, such as in neurorehabilitation.
URI
https://www.hindawi.com/journals/bmri/2017/6820482/https://repository.hanyang.ac.kr/handle/20.500.11754/113301
ISSN
2314-6133; 2314-6141
DOI
10.1155/2017/6820482
Appears in Collections:
RESEARCH INSTITUTE[S](부설연구소) > INSTITUTE OF BIOMEDICAL ENGINEERING(의공학연구소) > Articles
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