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dc.contributor.authorWang Yu
dc.contributor.authorXu Bing
dc.contributor.authorGui Qiang
dc.contributor.authorGuo Kai
dc.contributor.authorPei WeiHua
dc.contributor.authorLiu Jian
dc.contributor.authorChen HongDa
dc.date.accessioned2017-05-09T00:46:16Z
dc.date.available2017-05-09T00:46:16Z
dc.date.copyrightAugust, 2011
dc.date.issued2011
dc.identifier.issn1949-2944
dc.identifier.otherJNEMAA-28064#031007_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/147298
dc.description.abstractBrain–computer interface (BCI) technology is a key issue in neural engineering, which can manipulate machine by electroencephalography (EEG). An important question surrounding the use of the BCI is the design of a wearable electroencephalography recording and processing equipment. We report the design and fabrication of a novel system based on dry electrodes, in which skin preparation and application of electrolytic gel are not required. In this study, an EEG-based BCI system, which includes a wireless transmitter module and an receiver module was designed, EEG is acquired using dry electrodes, amplified and processed by an application-specific integrated circuit (ASIC), and transmitted to the receiver by RF chip. The BCI system can obtain the subject’s degree of concentration, and those trained subjects have the ability of controlling the machine by changing their EEG signals. A experiment that controlling a toy car using the BCI system is successfully performed. The wearable transmitter module weighs 39 g only and easy to wear. The transmitter consumes 60 mW of dc power and generates an output power of 0 dBm. The BCI system is suitable for long-term EEG monitoring in users’ daily life. This system is feasible for further extension.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleDry Electrode Based Wearable Wireless Brain–Computer Interface System
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue3
dc.journal.titleJournal of Nanotechnology in Engineering and Medicine
dc.identifier.doi10.1115/1.4005487
dc.journal.fristpage31007
dc.identifier.eissn1949-2952
dc.keywordsElectrodes
dc.keywordsComputers
dc.keywordsBrain
dc.keywordsElectroencephalography
dc.keywordsSignals AND Manufacturing
dc.treeJournal of Nanotechnology in Engineering and Medicine:;2011:;volume( 002 ):;issue: 003
dc.contenttypeFulltext


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