应用于脑电图信号处理的特征映射方法

Andréa A. Ribeiro Alves, Silvio Antonio Carro, Danillo Roberto Pereira
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引用次数: 0

摘要

脑电图(EEG)是一种医学检查,旨在记录个人的大脑活动,以供进一步分析。目前出现了几个相同的应用程序,对于任何应用程序来说,一个主要因素是在信号中找到模式和组,并将它们与动作联系起来。目前,有几种分类器用于此,这些分类器直接应用于脑电信号。然而,另一个主题是在信号处理中使用映射特征方法,然后对得到的信号进行分类,以获得更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MÉTODOS DE MAPPING FEATURES APLICADOS AO PROCESSAMENTO DE SINAIS EEG
The electroencephalogram (EEG) is a medical examination that aims to record the individual's brain activity for further analysis. Several applications are currently emerging for the same, and a major factor for any application is finding patterns and groups in the signals and relating them to the actions. Currently, there are several classifiers used for this, and these classifiers are applied directly to EEG signals. However, another theme uses Mapping Features methods in signal processing and then performs the classification on the resulting signals for better results.
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