首页> 外国专利> METHOD FOR ANALYZING CORRELATION CHARACTERISTICS OF ELECTROENCEPHALOGRAM BETWEEN EEG CHANNELS AND METHOD FOR RECOGNIZING HUMAN INTENTIONS USING CORRELATION CHARACTERISTICS OF ELECTROENCEPHALOGRAM BETWEEN EEG CHANNELS

METHOD FOR ANALYZING CORRELATION CHARACTERISTICS OF ELECTROENCEPHALOGRAM BETWEEN EEG CHANNELS AND METHOD FOR RECOGNIZING HUMAN INTENTIONS USING CORRELATION CHARACTERISTICS OF ELECTROENCEPHALOGRAM BETWEEN EEG CHANNELS

机译:脑电通道间电相关性的分析方法及利用脑电通道间相关性的识别人的意图的方法

摘要

A method for recognizing a human intention using inter-channel correlation for electroencephalograms measured from multiple channels according to an embodiment of the present invention comprises the steps of: (A1) measuring the electroencephalograms of a subject from M channels and computing inter-channel correlation coefficients for the electroencephalograms; (A2) computing p statistical feature values for the computed inter-channel correlation coefficients; (A3) selecting w inter-channel correlation coefficients among the computed inter-channel correlation coefficients in the order that a positive value is larger and selecting w inter-channel correlation coefficients among the computed inter-channel correlation coefficients in the order that a negative value is larger to extract reference channels; and (A4) selecting, as the intention of the subject, a candidate model, in which statistical feature values for inter-channel correlation coefficients at the same locations as the reference channels are closest to statistical feature values for inter-reference channel correlation coefficients, among candidate models. By providing inter-channel correlation characteristic information for electroencephalograms, electroencephalograms according to various brain activities can be analyzed and recognized. [Reference numerals] (A1) Measure the electroencephalograms of a subject from M channels and compute inter-channel correlation coefficients for the electroencephalograms; (A2) Compute p statistical feature values for the computed inter-channel correlation coefficients; (A3) Select w inter-channel correlation coefficients among the computed inter-channel correlation coefficients in the order that a positive value is larger and select w inter-channel correlation coefficients among the computed inter-channel correlation coefficients in the order that a negative value is larger to extract reference channels; (A4) Select, as the intention of the subject, a candidate model, in which statistical feature values for inter-channel correlation coefficients at the same locations as the reference channels are closest to statistical feature values for inter-reference channel correlation coefficients, among candidate models; (AA) Start; (BB) End
机译:根据本发明的实施例的使用针对从多个通道测量的脑电图的通道间相关性来识别人的意图的方法包括以下步骤:(A1)从M个通道测量对象的脑电图并计算通道间相关系数脑电图(A2)为所计算的信道间相关系数计算p个统计特征值; (A3)以正值较大的顺序在计算的信道间相关系数中选择w个信道间相关系数,以负值的顺序在计算的信道间相关系数中选择w个信道间相关系数。较大以提取参考通道; (A4)选择候选模型作为对象的意图,其中与参考信道相同的位置处的信道间相关系数的统计特征值最接近参考间信道相关系数的统计特征值,在候选模型中。通过提供脑电图的通道间相关特性信息,可以分析和识别根据各种脑部活动的脑电图。 [附图标记](A1)从M个通道测量被摄体的脑波,并计算该脑波的通道间相关系数; (A2)计算所计算的信道间相关系数的p个统计特征值; (A3)以正值较大的顺序在计算的信道间相关系数中选择w个信道间相关系数,以负值的顺序在计算的信道间相关系数中选择w个信道间相关系数。较大以提取参考通道; (A4)选择候选模型作为对象的意图,其中在与参考信道相同的位置处的信道间相关系数的统计特征值最接近参考间信道相关系数的统计特征值。候选模型(AA)开始; (BB)结束

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