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Electroencephalography Classification Method for Movement Imagination and Apparatus Thereof

机译:运动想象的脑电图分类方法及其装置

摘要

PURPOSE: A classifying method of a brainwave imagining motion and a device thereof are provided to use support vector machine algorithm and Gaussian mixture model algorithm, thereby increasing classifying accuracy of left side and right side motion imagination electroencephalogram. CONSTITUTION: A preprocessing unit(110) receives and preprocesses measured electroencephalogram. A feature extracting unit(120) extracts a feature of the electroencephalogram. A classifying unit(130) classifies the electroencephalogram into a left side and right side motion imagination electroencephalogram class by using a support vector and support vector machine algorithm. The support vector is obtained by applying the feature extracted from left side and right side motion imagination electroencephalogram to a Gaussian mixture model. [Reference numerals] (110) Preprocessing unit; (120) Feature extracting unit; (130) Classifying unit
机译:目的:提供一种脑波想象运动的分类方法及其装置,以利用支持向量机算法和高斯混合模型算法,提高了左右运动想象脑电图的分类精度。组成:一个预处理单元(110)接收并预处理测得的脑电图。特征提取单元(120)提取脑波图的特征。分类单元(130)通过使用支持向量和支持向量机算法将脑波分类为左右运动想象脑波分类。通过将从左侧和右侧运动想象脑电图提取的特征应用于高斯混合模型来获得支持向量。 [附图标记](110)预处理单元; (120)特征提取单元; (130)分类单位

著录项

  • 公开/公告号KR101293446B1

    专利类型

  • 公开/公告日2013-08-05

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20110040882

  • 发明设计人 이상국;이다빛;

    申请日2011-04-29

  • 分类号G06F19;G06F17/10;

  • 国家 KR

  • 入库时间 2022-08-21 16:24:40

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