Using General-Purpose Graphic Processing Units for BCI Systems

被引：0
|
作者：
Wilson, J. Adam [1 ]
机构：
[1] Univ Cincinnati, Dept Neurosurg, Cincinnati, OH 45219 USA
来源：
2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2011年
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
BioMEMS electrode array fabrication techniques are used to develop high-density arrays with hundreds of channels. However, it was previously impossible to process more than a fraction of these channels real-time for online BCI experiments due to computational resource restraints. It is now possible to use graphics processing units (GPUs), which can have several hundred processing cores each, to processes large amounts of data quickly. This paper summarizes advances in using GPUs for BCI processing for EEG, ECoG, and microelectrode systems, with speedups of more than 30 times that of current state-of-the-art CPU-based BCI implementations.
引用
收藏
页码：4625 / 4628
页数：4
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