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 | |
| Publication status | Published - 2018 Jan 1 |
| 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