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.
| Original language | English |
|---|---|
| Article number | 6820482 |
| Journal | BioMed Research International |
| Volume | 2017 |
| DOIs | |
| Publication status | Published - 2017 |
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ASJC Scopus subject areas
- Immunology and Microbiology(all)
- Biochemistry, Genetics and Molecular Biology(all)
Cite this
Evaluation of a Compact Hybrid Brain-Computer Interface System. / Shin, Jaeyoung; Muller, Klaus; Schmitz, Christoph H.; Kim, Do Won; Hwang, Han Jeong.
In: BioMed Research International, Vol. 2017, 6820482, 2017.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Evaluation of a Compact Hybrid Brain-Computer Interface System
AU - Shin, Jaeyoung
AU - Muller, Klaus
AU - Schmitz, Christoph H.
AU - Kim, Do Won
AU - Hwang, Han Jeong
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
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U2 - 10.1155/2017/6820482
DO - 10.1155/2017/6820482
M3 - Article
C2 - 28373984
AN - SCOPUS:85015871799
VL - 2017
JO - BioMed Research International
JF - BioMed Research International
SN - 2314-6133
M1 - 6820482
ER -