EEG-based synchronized brain-computer interfaces: A model for optimizing the number of mental tasks

被引：41

作者：

Kronegg, Julien ^{[1
]}

Chanel, Guillaume ^{[1
]}

Voloshynovskiy, Sviatoslav ^{[1
]}

Pun, Thierry ^{[1
]}

机构：

[1] Univ Geneva, Comp Vis & Multimedia Lab, CH-1211 Geneva 4, Switzerland

来源：

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2007年 / 15卷 / 01期

关键词：

brain-computer interface (BCI); classification; electroencephalogram (EEG); information transfer rate; optimal number of mental tasks;

D O I：

10.1109/TNSRE.2007.891389

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The information-transfer rate (ITR) is commonly used to assess the performance of brain-computer interfaces (BCIs). Various studies have shown that the optimal number of mental tasks to be used is fairly low, around 3 or 4. We propose an experimental validation as well as a formal approach to demonstrate and confirm that this optimum is user and BCI design dependent. Even if increasing the number of mental tasks to the optimum indeed leads to an increase of the ITR, the gain remains small. This might not justify the added complexity in terms of protocol design.

引用

页码：50 / 58

页数：9

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