Exploring the EEG correlates of neurocognitive lapse with robust principal component analysis

Chun-Shu Wei, Yuan Pin Lin, Tzyy Ping Jung*

*此作品的通信作者

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

Recent developments of brain-computer interfaces (BCIs) for driving lapse detection based on electroencephalogram (EEG) have made much progress. This study aims to leverage these new developments and explore the use of robust principal component analysis (RPCA) to extract informative EEG features associated with neurocognitive lapses. Study results showed that the RPCA decomposition could separate lapse-related EEG dynamics from the task-irrelevant spontaneous background activity, leading to more robust neural correlates of neurocognitive lapse as compared to the original EEG signals. This study will shed light on the development of a robust lapse-detection BCI system in real-world environments.

原文English
主出版物標題Foundations of Augmented Cognition
主出版物子標題Neuroergonomics and Operational Neuroscience - 10th International Conference, AC 2016 and Held as Part of HCI International 2016, Proceedings
編輯Cali M. Fidopiastis, Dylan D. Schmorrow
發行者Springer Verlag
頁面113-120
頁數8
ISBN(列印)9783319399546
DOIs
出版狀態Published - 1 1月 2016
事件10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, AC 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
持續時間: 17 7月 201622 7月 2016

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9743
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, AC 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
國家/地區Canada
城市Toronto
期間17/07/1622/07/16

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