REAL-TIME BIG EEG DATA PROCESSING WITH CUDA PARALLEL COMPUTING TECHNOLOGY

被引：0
|
作者：
Grubov, Vadim [1 ]
Maksimenko, Vladimir [1 ]
Nedaivozov, Vladimir [1 ]
Kirsanov, Daniil [1 ]
机构：
[1] Yuri Gagarin State Tech Univ Saratov, Saratov, Russia
来源：
2018 2ND SCHOOL ON DYNAMICS OF COMPLEX NETWORKS AND THEIR APPLICATION IN INTELLECTUAL ROBOTICS (DCNAIR) | 2018年
关键词：
electroencephalogram; multichannel EEG recordings; big data; parallel computing; CUDA technology;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Possibility of parallel computing technology application for big EEG data processing was considered. It was shown, that application of such methods for calculation of time-frequency characteristics of multichannel EEG signals allows real-time evaluation of changes in EEG signal and, therefore, in brain neuronal activity. Possibility of realization of wavelet-based algorithm for detection of characteristic states and changes of states on EEG signals in real time with help of CUDA C library was shown.
引用
收藏
页码：49 / 52
页数：4
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