首页> 外文会议>Machine Learning for Signal Processing, 2006 IEEE Workshop on; Maynooth,Ireland >Designing a Multi Trial Classifier for EEG Signals: Classifying Rhythms Perceived
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Designing a Multi Trial Classifier for EEG Signals: Classifying Rhythms Perceived

机译:设计针对脑电信号的多重试验分类器:对感知的节奏进行分类

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Classification of EEG-signals is error-prone, due to the the small differences in the measurements and the inherent presence of continuing brain dynamics. Often these dynamics are denoted as noise, and in this view, classification is difficult, due to the
机译:脑电信号的分类容易出错,原因是测量值之间的细微差异以及持续的大脑动力学的固有存在。通常将这些动态表示为噪声,并且在这种情况下,由于

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