Journal
GERONTOLOGY
Volume 56, Issue 1, Pages 112-119Publisher
KARGER
DOI: 10.1159/000230807
Keywords
Brain-computer interface; Wireless data transmission; Wearable signal monitoring systems; Real time data analysis; Electroencephalogram
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Funding
- Aiming for the Top University Plan of National Chiao Tung University
- Ministry of Education, Taiwan [97W806]
- National Science Council, Taiwan [NSC 97-2627-E-009-001]
- VGHUST Joint Research Program
- Tsou's Foundation, Taiwan [VGHUST97-G5-1]
- Swartz Foundation
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Biomedical signal monitoring systems have rapidly advanced in recent years, propelled by significant advances in electronic and information technologies. Brain-computer interface (BCI) is one of the important research branches and has become a hot topic in the study of neural engineering, rehabilitation, and brain science. Traditionally, most BCI systems use bulky, wired laboratory-oriented sensing equipments to measure brain activity under well-controlled conditions within a confined space. Using bulky sensing equipments not only is uncomfortable and inconvenient for users, but also impedes their ability to perform routine tasks in daily operational environments. Furthermore, owing to large data volumes, signal processing of BCI systems is often performed off-line using high-end personal computers, hindering the applications of BCI in real-world environments. To be practical for routine use by unconstrained, freely-moving users, BCI systems must be noninvasive, nonintrusive, light-weight and capable of online signal processing. This work reviews recent online BCI systems, focusing especially on wearable, wireless and real-time systems. Copyright (C) 2009 S. Karger AG, Basel
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