一个 EEGLAB 插件，用于使用“基于通道反应性的方法”分析个体 EEG 阿尔法节律。
An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method".
机构信息
Department of Information Engineering, University of Padova, via Gradenigo 6/B, 35131 Padova, Italy.
Department of General Psychology, University of Padova, via Venezia 8, 35131 Padova, Italy.
出版信息
Comput Methods Programs Biomed. 2014 Mar;113(3):853-61. doi: 10.1016/j.cmpb.2013.12.010. Epub 2013 Dec 31.
A recent paper [1] proposed a new technique, termed the channel reactivity-based method (CRB), for characterizing EEG alpha rhythms using individual (IAFs) and channel (CAFs) alpha frequencies. These frequencies were obtained by identifying the frequencies at which the power of the alpha rhythms decreases. In the present study, we present a graphical interactive toolbox that can be plugged into the popular open source environment EEGLAB, making it easy to use CRB. In particular, we illustrate the major functionalities of the software and discuss the advantages of this toolbox for common EEG investigations. The CRB analysis plugin, along with extended documentation and the sample dataset utilized in this study, is freely available on the web at http://bio.dei.unipd.it/crb/.
最近的一篇论文[1]提出了一种新的技术，称为基于通道反应性的方法（CRB），用于使用个体（IAFs）和通道（CAFs）alpha 频率来描述 EEG alpha 节律。这些频率是通过识别 alpha 节律的功率降低的频率来获得的。在本研究中，我们提出了一个图形交互工具箱，可以插入到流行的开源环境 EEGLAB 中，使其易于使用 CRB。特别地，我们说明了软件的主要功能，并讨论了该工具箱在常见 EEG 研究中的优势。CRB 分析插件，以及扩展文档和本研究中使用的示例数据集，可在 http://bio.dei.unipd.it/crb/ 上免费获得。
Zotero 插件