Off-line Analysis of the P300 Event-Related Potential using Discrete Wavelet Transform

被引：0

作者：

Vareka, Lukas ^{[1
]}

Mautner, Pavel ^{[1
]}

机构：

[1] Univ W Bohemia, Dept Comp Sci & Engn, Plzen 30614, Czech Republic

来源：

2013 36TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2013年

关键词：

Brain-computer interfaces; discrete wavelet transform; EEG; event-related potentials; pattern recognition;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The P300 component is an event-related potential associated with the process of decision making. Its accurate detection in electroencephalographic signal is essential for P300-based brain-computer interfaces. This paper proposes a new method for the P300 detection based on discrete wavelet transform. Its benefits were tested with five healthy subjects using voting classification algorithm. The accuracy of 74.4% was achieved for single trials and over 90% accuracy for averaging.

引用

页码：569 / 572

页数：4

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