Comparison of brain computer interface for selecting menus that utilize EEG and NIRS

Akihiko Hanafusa, Keiyo Arai, Yukari Okawa

Research output: Contribution to journalConference article

Abstract

The authors attempted to develop an environment control system for severely handicapped bed-ridden patients. In this study, we used electroencephalograms (EEG) and near infrared stereoscopy (NIRS) to test and compare a system called “brain computer interface” for the purpose of selecting menus. The feature of the EEG-based system is that wavelet analysis is used to detect the event-related potential P300, and then, to determine the selected menu. Additionally, an appropriate stimulus-to-stimulus interval time of the menu was derived to be approximately 0.50–0.75 s. Regarding the NIRS-based system, real-time feedback was effective in increasing oxygenated hemoglobin (Oxy-Hb) signal, which resulted in a higher success ratio. The average success ratio of EEG-based system was higher than that of NIRS-based system. In general, using the proposed system, the time required to select a menu is shortened, and the feeling of restraint is reduced.

Original languageEnglish
Pages (from-to)457-461
Number of pages5
JournalIFMBE Proceedings
Volume68
Issue number2
DOIs
Publication statusPublished - 2018 Jan 1
EventWorld Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic
Duration: 2018 Jun 32018 Jun 8

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Brain computer interface
Electroencephalography
Infrared radiation
Wavelet analysis
Hemoglobin
Real time systems
Hemoglobins
Feedback
Control systems
Stereo image processing

Keywords

  • Bed-ridden patients
  • Brain computer interface
  • Electro-encephalograms
  • Event related potential
  • Near infrared stereoscopy
  • Oxygenated hemoglobin

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

Cite this

Comparison of brain computer interface for selecting menus that utilize EEG and NIRS. / Hanafusa, Akihiko; Arai, Keiyo; Okawa, Yukari.

In: IFMBE Proceedings, Vol. 68, No. 2, 01.01.2018, p. 457-461.

Research output: Contribution to journalConference article

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