Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces
Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces
复制标题
DOI：
10.1016/j.neunet.2009.07.020
复制
发表时间：
2009-11-01
期刊：
影响因子：
7.8
通讯作者：
Schloegl, Alois
中科院分区：
文献类型：
--
作者：
Vidaurre, Carmen;Kraemer, Nicole;Schloegl, Alois
几种特征类型已被用于基于EEG的脑机接口，其中最流行的是对数频带功率估计，具有或多或少的特定于主题的文件频带优化。在本文中，我们介绍了一个功能，称为时域参数，定义的Hjorth参数的推广。研究了两种不同条件下的时域参数。第一个设置是在没有来自受试者的数据时定义的。在这种情况下，我们的结果表明，时域参数优于所有的频带功率特性测试与所有的空间滤波器应用。第二种设置是从校准（无反馈）到反馈的过渡，其中信号的频率内容可以针对某些受试者而改变。我们将时域参数与受试者特定频带中的对数频带功率进行比较，并表明这些功能在这种情况下也是有利的。(C)2009爱思唯尔有限公司版权所有。
Several feature types have been used with EEG-based Brain-Computer Interfaces Among the most popular are logarithmic band power estimates with more or less subject-specific optimization of file frequency bands. In this paper we introduce a feature called Time Domain Parameter that is defined by the generalization of the Hjorth parameters. Time Domain Parameters are Studied Under two different conditions. The first setting is defined when no data from a Subject is available. In this condition our results show that Time Domain Parameters outperform all band power features tested with all spatial filters applied. The second setting is the transition from calibration (no feedback) to feedback, in which the frequency content of the signals can change for some subjects We compare Time Domain Parameters with logarithmic band power in subject-specific bands and show that these features are advantageous in this situation as well. (C) 2009 Elsevier Ltd All rights reserved.