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首页> 外文期刊>IEEE transactions on neural systems and rehabilitation engineering >Automatic Classification of Athletes With Residual Functional Deficits Following Concussion by Means of EEG Signal Using Support Vector Machine
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Automatic Classification of Athletes With Residual Functional Deficits Following Concussion by Means of EEG Signal Using Support Vector Machine

机译:使用支持向量机通过脑电信号自动对脑震荡后功能障碍的运动员进行自动分类

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摘要

There is a growing body of knowledge indicating long-lasting residual electroencephalography (EEG) abnormalities in concussed athletes that may persist up to 10-year postinjury. Most often, these abnormalities are initially overlooked using traditi
机译:越来越多的知识表明,脑震荡运动员中的持久性残留脑电图(EEG)异常可能会持续到受伤后10年。通常,通常使用传统方法忽略这些异常

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