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Open Access Dataset for EEG plus NIRS Single-Trial Classification

Title
Open Access Dataset for EEG plus NIRS Single-Trial Classification
Author
신재영
Keywords
Brain-computer interface (BCI); electroencephalography (EEG); hybrid BCI; mental arithmetic; motor imagery; near-infrared spectroscopy (NIRS); open access dataset
Issue Date
2017-10
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v. 25, no. 10, page. 1735-1745
Abstract
We provide an open access dataset for hybrid brain-computer interfaces (BCIs) using electroencephalography (EEG) and near-infrared spectroscopy (NIRS). For this, we conducted two BCI experiments (left versus right hand motor imagery; mental arithmetic versus resting state). The dataset was validated using baseline signal analysis methods, with which classification performance was evaluated for each modality and a combination of both modalities. As already shown in previous literature, the capability of discriminating different mental states can be enhanced by using a hybrid approach, when comparing to single modality analyses. This makes the provided data highly suitable for hybrid BCI investigations. Since our open access dataset also comprises motion artifacts and physiological data, we expect that it can be used in a wide range of future validation approaches in multimodal BCI research.
URI
https://ieeexplore.ieee.org/document/7742400http://repository.hanyang.ac.kr/handle/20.500.11754/116031
ISSN
1534-4320; 1558-0210
DOI
10.1109/TNSRE.2016.2628057
Appears in Collections:
RESEARCH INSTITUTE[S](부설연구소) > INSTITUTE OF BIOMEDICAL ENGINEERING(의공학연구소) > Articles
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