標題: Design of the Multi-channel Electroencephalography-based Brain-Computer Interface with Novel Dry Sensors
作者: Wu, Shang-Lin
Liao, Lun-De
Liou, Chang-Hong
Chen, Shi-An
Ko, Li-Wei
Chen, Bo-Wei
Wang, Po-Sheng
Chen, Sheng-Fu
Lin, Chin-Teng
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Electroencephalography (EEG);Brain-computer interface (BCI);Dry sensor;Data acquisition device;Size-adjustable soft cap
公開日期: 2012
摘要: 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.
URI: http://hdl.handle.net/11536/20945
ISBN: 978-1-4577-1787-1
ISSN: 1557-170X
期刊: 2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 1793
結束頁: 1797
Appears in Collections:Conferences Paper