Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components

被引：353

作者：

Mueller-Putz, Gernot R. ^{[1
]}

Scherer, Reinhold ^{[1
]}

Brauneis, Christian ^{[1
]}

Pfurtscheller, Gert ^{[1
]}

机构：

[1] Graz Univ Technol, Inst Comp Graph & Vis, Lab Brain Comp Interfaces, Inffeldgasse 16a-2, A-8010 Graz, Austria

来源：

JOURNAL OF NEURAL ENGINEERING | 2005年 / 2卷 / 04期

关键词：

D O I：

10.1088/1741-2560/2/4/008

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Brain-computer interfaces (BCIs) can be realized on the basis of steady-state evoked potentials (SSEPs). These types of brain signals resulting from repetitive stimulation have the same fundamental frequency as the stimulation but also include higher harmonics. This study investigated how the classification accuracy of a 4-class BCI system can be improved by incorporating visually evoked harmonic oscillations. The current study revealed that the use of three SSVEP harmonics yielded a significantly higher classification accuracy than was the case for one or two harmonics. During feedback experiments, the five subjects investigated reached a classification accuracy between 42.5% and 94.4%.

引用

页码：123 / 130

页数：8

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