文章基本信息

标题：Peculiarity Oriented Mining for Multi-aspect ERP Brain Wave Data Analysis
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作者：Shinichi Motomura ; Ning Zhong
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2010
卷号：25
期号：4
页码：530-539
DOI：10.1527/tjsai.25.530
出版社：The Japanese Society for Artificial Intelligence
摘要：Recently, new methods for measuring and analyzing ERP brain wave data are required since the continued growth in such large and complex data collection in both brain research and medical science. In order to discover various patterns hidden in ERP data, it is necessary to pay attention to two types of peculiarities: temporal (time) and spatial (channel), from the potential and gradient standpoints. In this paper, we propose a novel approach of POM (peculiarity oriented mining) based multi-aspect ERP brain wave data analysis. We describe how to design cognitive experiments on investigating human computation mechanism with multiple difficulty levels for obtaining multi-ERP data, and how to analyze and visualize spatiotemporal peculiarities of such data. The experimental results show that all objectives we expect for the approach are achievable.
关键词：spatiotemporal peculiarity oriented mining ; multi-aspect ERP analysis ; peculiarity factor visualization