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

Akihiko Hanafusa, Keiyo Arai, Yukari Okawa

研究成果: Conference article査読


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.

ジャーナルIFMBE Proceedings
出版ステータスPublished - 2018
イベントWorld Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic
継続期間: 2018 6月 32018 6月 8

ASJC Scopus subject areas

  • バイオエンジニアリング
  • 生体医工学


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