文章基本信息

标题：Classification of Bio-potential Surface Electrode based on FKCM and SVM
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作者：Liu, Hao ; Tao, Xiaoming ; Xu, Pengjun 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2011
卷号：6
期号：5
页码：880-886
DOI：10.4304/jsw.6.5.880-886
语种：English
出版社：Academy Publisher
摘要：In this paper, a method which is used for evaluating the performance of bio-potential surface electrode (BSE) with multi-index is presented. The Fuzzy kernel C-means (FKCM) algorithm and KF statistic are employed for classifying the BSE samples and searching an optimal classification amount respectively. Subsequently, a discriminant function is constructed by support vector machines (SVM) for recognizing the new measured samples. Experimental result shows classification correction ratios of improved FKCM algorithm are 96.3% and 85% on the IRIS and BSE dataset according a priori knowledge, furthermore, the recognition correction ratios of SVM algorithm are 96.3% and 90% on the IRIS and BSE dataset.
关键词：FKCM;SVM;classification;recognition;bio-potential surface electrode