An improved asynchronous brain interface: making use of the temporal history of the LF-ASD feature vectors

被引:17
作者
Bashashati, Ali [1 ]
Mason, Steve
Ward, Rabab K.
Birch, Gary E.
机构
[1] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
[2] Neil Squire Soc, Burnaby, BC V5M 3Z3, Canada
[3] Inst Comp Informat & Cognit Syst, Vancouver, BC V6T 1Z4, Canada
关键词
D O I
10.1088/1741-2560/3/2/002
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The low-frequency asynchronous switch design (LF-ASD) has been introduced as a direct brain interface (BI) for asynchronous control applications. Asynchronous interfaces, as opposed to synchronous interfaces, have the advantage of being operational at all times and not only at specific system-defined periods. This paper modifies the LF-ASD design by incorporating into the system more knowledge about the attempted movements. Specifically, the history of feature values extracted from the EEG signal is used to detect a right index finger movement attempt. Using data collected from individuals with high-level spinal cord injuries and able-bodied subjects, it is shown that the e ' rror characteristics of the modified design are significantly better than the previous LF-ASD design. The true positive rate percentage increased by up to 15 which corresponds to 50% improvement when the system is operating with false positive rates in the 1-2% range.
引用
收藏
页码:87 / 94
页数:8
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