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METHOD AND SYSTEM FOR DETERMINING MOTOR IMAGERY ELECTROENCEPHALOGRAM BY USING SPECTRUM ANALYSIS AND VECTOR QUANTIZATION

机译:光谱分析和矢量量化确定电机影像的方法和系统

摘要

The present invention relates to a system and method for determining motor imagery electroencephalogram (EGG) by extracting characteristics of a time-frequency domain through spectrum analysis of an EGG signal and classifying the signal through a vector quantization process. The method for determining EGG comprises the following steps: allowing an EGG reception unit to receive an EGG signal of a user; allowing an EGG filtering unit to perform filtering on the received EGG signal in a frequency bandwidth of a specific region; allowing a characteristic vector extraction unit to extract a characteristic vector from the filtered EGG signal; allowing a vector quantization unit to perform vector quantization on the extracted characteristic vector by using a codebook dictionary; and allowing a characteristic classification unit to select a class of the quantized characteristic vector. In the step of extracting a characteristic vector, the extracted characteristic vector includes a characteristic of a time-space form.;COPYRIGHT KIPO 2016
机译:本发明涉及一种通过对EGG信号的频谱分析提取时频域的特征并通过矢量量化过程对信号进行分类来确定运动图像脑电图(EGG)的系统和方法。确定EGG的方法包括以下步骤:允许EGG接收单元接收用户的EGG信号;允许EGG滤波单元在特定区域的频率带宽内对接收到的EGG信号进行滤波;允许特征向量提取单元从滤波后的EGG信号中提取特征向量;允许矢量量化单元通过使用码本字典对提取的特征矢量执行矢量量化;并允许特征分类单元选择量化的特征矢量的类别。在提取特征向量的步骤中,提取的特征向量包括时空形式的特征。; COPYRIGHT KIPO 2016

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