文章基本信息

标题：Reducing Dataset Size in Frequency Domain for Brain Computer Interface Motor Imagery Classification
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作者：Ch.Aparna ; Dr J.V.R.Murthy ; Dr.B.Raveendra Babu 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2010
卷号：2
期号：9
页码：2924-2927
出版社：Engg Journals Publications
摘要：Brain computer interface is an emerging area of research where the BCI system is able to detect and interpret the mental activity into computer interpretable signals opening a wide area of applications where activities can be completed without using muscular movement. In Brain Computer Interface research, for classification of EEG signals the raw signals captured has to undergo some preprocessing, to obtain the right attributes for classification. In this paper, we present a system which allows for classification of mental tasks based on a statistical data obtained in frequency domain using Discrete cosine transform and extracting useful frequencies from the same with application of decision tree algorithms for classification.
关键词：BCI; Discrete cosine transform(DCT); Butterworth filter; EEG; Decision tree.