首页> 外国专利> ELECTROENCEPHALOGRAM PATTERN CLASSIFICATION DEVICE, ELECTROENCEPHALOGRAM PATTERN CLASSIFICATION METHOD, ELECTROENCEPHALOGRAM PATTERN CLASSIFICATION PROGRAM, AND NEURO-FEEDBACK SYSTEM

ELECTROENCEPHALOGRAM PATTERN CLASSIFICATION DEVICE, ELECTROENCEPHALOGRAM PATTERN CLASSIFICATION METHOD, ELECTROENCEPHALOGRAM PATTERN CLASSIFICATION PROGRAM, AND NEURO-FEEDBACK SYSTEM

机译:脑电图谱分类装置,脑电图谱分类方法,脑电图谱分类程序和神经反馈系统

摘要

PROBLEM TO BE SOLVED: To provide an electroencephalogram pattern classification device capable of reducing a time until starting use by a user even in the case of performing processing of classifying electroencephalogram patterns by detecting an electroencephalogram signal in a non-invasive manner.;SOLUTION: An electroencephalogram pattern classification device, after executing filter processing in a predetermined frequency region on measurement data from an electroencephalograph (S100), asynchronously executes classification of brain action patterns using an adaptive CSP (Common Spatial Patterns) method. The electroencephalogram pattern classification device, therefore, performs adaptive whitening processing on a measurement signal (S102); subtracts a moving average from an extracted feature amount to perform adaptive conversion to a feature amount exerting a zero average (S106); and performs classification on the adapted feature amount using a classifier (S108).;SELECTED DRAWING: Figure 6;COPYRIGHT: (C)2018,JPO&INPIT
机译:解决的问题:提供一种脑电图模式分类装置,即使在通过以非侵入方式检测脑电图信号进行脑电图模式分类处理的情况下,也能够减少用户开始使用为止的时间。脑波谱模式分类装置在对来自脑波谱仪的测量数据执行预定频率区域中的滤波处理之后(S100),使用自适应CSP(通用空间模式)方法异步地执行脑部动作模式的分类。因此,脑波模式分类装置对测量信号进行自适应白化处理(S102)。从提取的特征量中减去移动平均值以进行自适应转换为施加零平均值的特征量(S106); ;并使用分类器对调整后的特征量进行分类(S108)。;选定的图纸:图6;版权:(C)2018,JPO&INPIT

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