Stream Processing of Multichannel EEG Data Using Parallel Computing Technology with NVIDIA CUDA Graphics Processors
- 作者: Grubov V.1, Nedaivozov V.1
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隶属关系:
- Yuri Gagarin State Technical University of Saratov
- 期: 卷 44, 编号 5 (2018)
- 页面: 453-455
- 栏目: Article
- URL: https://journals.rcsi.science/1063-7850/article/view/207676
- DOI: https://doi.org/10.1134/S1063785018050188
- ID: 207676
如何引用文章
详细
Prospects of using parallel computing technology (PaCT) methods for the stream processing and online analysis of multichannel EEG data are considered. It is shown that the application of PaCT to calculation and evaluation of spectral characteristics of EEG signals makes online determination of changes in the energy of the main rhythms of neural activity in various parts of the cerebral cortex possible. The possibility of implementing the PaCT algorithm with CUDA C library and its use in a modern brain–computer interface (BCI) for cognitive-activity monitoring in the course of visual perception.
作者简介
V. Grubov
Yuri Gagarin State Technical University of Saratov
编辑信件的主要联系方式.
Email: vvgrubov@gmail.com
俄罗斯联邦, Saratov, 410054
V. Nedaivozov
Yuri Gagarin State Technical University of Saratov
Email: vvgrubov@gmail.com
俄罗斯联邦, Saratov, 410054