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

Akihiko Hanafusa; Keiyo Arai; Yukari Okawa

doi:10.1007/978-981-10-9038-7_85

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

Akihiko Hanafusa, Keiyo Arai, Yukari Okawa

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	457-461
Number of pages	5
Journal	IFMBE Proceedings
Volume	68
Issue number	2
DOIs	https://doi.org/10.1007/978-981-10-9038-7_85
Publication status	Published - 2018
Event	World Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic Duration: 2018 Jun 3 → 2018 Jun 8

Keywords

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

ASJC Scopus subject areas

Bioengineering
Biomedical Engineering

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title = "Comparison of brain computer interface for selecting menus that utilize EEG and NIRS",

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.",

keywords = "Bed-ridden patients, Brain computer interface, Electro-encephalograms, Event related potential, Near infrared stereoscopy, Oxygenated hemoglobin",

author = "Akihiko Hanafusa and Keiyo Arai and Yukari Okawa",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; World Congress on Medical Physics and Biomedical Engineering, WC 2018 ; Conference date: 03-06-2018 Through 08-06-2018",

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AU - Hanafusa, Akihiko

AU - Arai, Keiyo

AU - Okawa, Yukari

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2019.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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KW - Brain computer interface

KW - Electro-encephalograms

KW - Event related potential

KW - Near infrared stereoscopy

KW - Oxygenated hemoglobin

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

Abstract

Keywords

ASJC Scopus subject areas

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