Analysis on EEG Signals in Visually and Auditorily Guided Saccade Task by FICAR
暂无分享,去创建一个
Recently an independent component analysis (ICA) becomes powerful tools to processing bio-signals. In our studies, the ICA is applied to processing on saccade-related EEG signals in order to predict saccadic eye movements because an ensemble averaging, which is a conventional processing method of EEG signals, is not suitable for real-time processing. We have already detected saccade-related independent components (ICs) by ICA. However, features of saccade-related EEG signals and saccade-related ICs were not compared. In this paper, saccade-related EEG signals and saccade-related ICs in visually and auditorily guided saccade task are compared in the point of the latency between starting time of a saccade and time when a saccade-related EEG signal or an IC has maximum value and in the point of the peak scale where a saccade-related EEG signal or an IC has maximum value.
[1] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[2] Allan Kardec Barros,et al. Extraction of event-related signals from multichannel bioelectrical measurements , 2000, IEEE Trans. Biomed. Eng..
[3] Allan Kardec Barros,et al. Analysis on saccade-related EEG with independent component analysis , 2002 .