Hybrid EEG-NIRS brain-computer interface under eyes-closed condition

Jaeyoung Shin, Klaus Muller, Han Jeong Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose a hybrid BCI combining electroencephalography (EEG) and near-infrared spectroscopy (NIRS) that can be potentially operated in eyes-closed condition for paralyzed patients with oculomotor dysfunctions. In the experiment, seven healthy participants performed mental subtraction and stayed relaxed (baseline state), during which EEG and NIRS data were simultaneously measured. To evaluate the feasibility of the hybrid BCI, we classified frontal brain activities inducted by mental subtraction and baseline state, and compared classification accuracies obtained using unimodal EEG and NIRS BCI and the hybrid BCI. As a result, the hybrid BCI (85.54 % ± 8.59) showed significantly higher classification accuracy than those of unimodal EEG (80.77 % ± 11.15) and NIRS BCI (77.12 % ± 7.63) (Wilcoxon signed rank test, Bonferroni corrected p < 0.05). The result demonstrated that our eyes-closed hybrid BCI approach could be potentially applied to neurodegenerative patients with impaired motor functions accompanied by a decline of visual functions.

Original languageEnglish
Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages721-723
Number of pages3
Volume2018-February
ISBN (Electronic)9781538615423
DOIs
Publication statusPublished - 2018 Feb 5
Externally publishedYes
Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
Duration: 2017 Dec 122017 Dec 15

Other

Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
CountryMalaysia
CityKuala Lumpur
Period17/12/1217/12/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Signal Processing

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  • Cite this

    Shin, J., Muller, K., & Hwang, H. J. (2018). Hybrid EEG-NIRS brain-computer interface under eyes-closed condition. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (Vol. 2018-February, pp. 721-723). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2017.8282127