標題: Toward Non-Hair-Bearing Brain-Computer Interfaces for Neurocognitive Lapse Detection
作者: Wei, Chun-Shu
Wang, Yu-Te
Lin, Chin-Teng
Jung, Tzyy-Ping
電子工程學系及電子研究所
腦科學研究中心
Department of Electronics Engineering and Institute of Electronics
Brain Research Center
公開日期: 2015
摘要: Recent advances in mobile electroencephalogram (EEG) acquisition based on dry electrodes have started moving Brain-Computer Interface (BCI) applications from well-controlled laboratory settings to real-world environments. However, the application mechanisms and high impedance of dry electrodes over the hair-covered areas remain challenging for everyday use of BCI. In addition, whole-scalp recordings are not always necessary or applicable due to various practical constrains. Therefore, alternative montages for EEG recordings to meet the everyday needs are in-demand. Inspired by our previous work on measuring non-hair-bearing steady state visual evoked potentials for BCI applications, this study explores the feasibility and efficacy of detecting cognitive lapses of participants based on EEG signals collected from the non-hair-bearing areas. Study results suggest that informative EEG features associated with lapses could be assessed from non-hair-bearing areas with comparable accuracy obtained from the whole-scalp EEG. The design principles, validation processes and promising findings reported in this study may enable and/or facilitate numerous BCI applications in real-world environments.
URI: http://hdl.handle.net/11536/134302
ISBN: 978-1-4244-9270-1
ISSN: 1557-170X
期刊: 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
起始頁: 6638
結束頁: 6641
顯示於類別:會議論文