公开(公告)号：KR1020120072290A

公开(公告)日：2012-07-03

申请号：KR1020110007479

申请日：2011-01-25

Applicant: 전남대학교산학협력단

Inventor： 양형정 ,  캄스위 ,  김선희

IPC: G06F19/00 ,  A61B5/0476

CPC classification number: G06F17/16 ,  A61B5/0476

Abstract: PURPOSE: A method for analyzing incremental non-Gaussian time is provided to minimize memory usage and data processing time by utilizing incremental ICA(Independent Component Analysis) scheme by analysis of EEG(Electroencephalography) signal data. CONSTITUTION: First input vector data is composed of matrices. The first input vector data is represented and disassembled into a non-Gaussian weight vector. The non-Gaussian weight vector is updated by the second input vector data. The non-Gaussian weight vector is repeated until maximum non-Gaussian characteristics are indicated.

Abstract translation: 目的：提供一种用于分析增量非高斯时间的方法，通过利用EEG（脑电图）信号数据的分析，利用增量ICA（独立分量分析）方案来最小化存储器使用和数据处理时间。 构成：第一个输入向量数据由矩阵组成。 第一输入向量数据被表示和分解成非高斯权重向量。 非高斯权重向量由第二输入向量数据更新。 重复非高斯权重向量直到指示最大非高斯特性。