Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces - A Mini-Review. Export

@article{lin2009wearablebci, abstract = {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, lightweight and capable of online signal processing. This work reviews recent online BCI systems, focusing especially on wearable, wireless and real-time systems.}, author = {Lin, Chin-Teng T. and Ko, Li-Wei W. and Chang, Meng-Hsiu H. and Duann, Jeng-Ren R. and Chen, Jing-Ying Y. and Su, Tung-Ping P. and Jung, Tzyy-Ping P.}, citeulike-article-id = {5396946}, citeulike-linkout-0 = {http://dx.doi.org/10.1159/000230807}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19641287}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19641287}, day = {25}, doi = {10.1159/000230807}, issn = {1423-0003}, journal = {Gerontology}, keywords = {bci, review, wearable}, month = {July}, posted-at = {2009-08-08 09:01:54}, priority = {2}, title = {Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces - A Mini-Review.}, url = {http://dx.doi.org/10.1159/000230807}, year = {2009} }

TY - JOUR ID - lin2009wearablebci L3 - citeulike-article-id:5396946 N2 - 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, lightweight and capable of online signal processing. This work reviews recent online BCI systems, focusing especially on wearable, wireless and real-time systems. JF - Gerontology SN - 1423-0003 TI - Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces - A Mini-Review. KW - bci KW - review KW - wearable AU - Lin, Chin-Teng AU - Ko, Li-Wei AU - Chang, Meng-Hsiu AU - Duann, Jeng-Ren AU - Chen, Jing-Ying AU - Su, Tung-Ping AU - Jung, Tzyy-Ping PY - 2009/07/25/ UR - http://dx.doi.org/10.1159/000230807 ER -