國家衛生研究院 NHRI:Item 3990099045/6975

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Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/6975

Title:	Design of the multi-channel electroencephalography-based brain-computer interface with novel dry sensors
Authors:	Wu, SL;Liao, LD;Liou, CH;Chen, SA;Ko, LW;Chen, BW;Wang, PS;Chen, SF;Lin, CT
Contributors:	Division of Medical Engineering Research
Abstract:	The traditional brain-computer interface (BCI) system measures the electroencephalography (EEG) signals by the wet sensors with the conductive gel and skin preparation processes. To overcome the limitations of traditional BCI system with conventional wet sensors, a wireless and wearable multi-channel EEG-based BCI system is proposed in this study, including the wireless EEG data acquisition device, dry spring-loaded sensors, a size-adjustable soft cap. The dry spring-loaded sensors are made of metal conductors, which can measure the EEG signals without skin preparation and conductive gel. In addition, the proposed system provides a size-adjustable soft cap that can be used to fit user's head properly. Indeed, the results are shown that the proposed system can properly and effectively measure the EEG signals with the developed cap and sensors, even under movement. In words, the developed wireless and wearable BCI system is able to be used in cognitive neuroscience applications.
Date:	2012-08-28
Relation:	Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE. 2012 Aug 28:1793-1797.
Link to:	http://dx.doi.org/10.1109/EMBC.2012.6346298
Cited Times(WOS):	https://www.webofscience.com/wos/woscc/full-record/WOS:000313296502011
Cited Times(Scopus):	http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84880771631
Appears in Collections:	[Others] Conference Papers/Meeting Abstract

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