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首页> 外文期刊>Artificial intelligence in medicine >An EEG-based functional connectivity measure for automatic detection of alcohol use disorder
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An EEG-based functional connectivity measure for automatic detection of alcohol use disorder

机译:基于脑电图的功能连接性度量标准,用于自动检测酒精使用障碍

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摘要

Background: The abnormal alcohol consumption could cause toxicity and could alter the human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately, the conventional screening methods for AUD patients are subjective and manual. Hence, to perform automatic screening of AUD patients, objective methods are needed. The electroencephalographic (EEG) data have been utilized to study the differences of brain signals between alcoholics and healthy controls that could further developed as an automatic screening tool for alcoholics.
机译:背景:异常饮酒可能会引起毒性,并可能改变人脑的结构和功能,称为饮酒障碍(AUD)。不幸的是,AUD患者的常规筛查方法是主观的和手动的。因此,要进行AUD患者的自动筛查,就需要客观的方法。脑电图(EEG)数据已被用于研究酗酒者与健康对照者之间脑信号的差异,后者可进一步发展为酗酒者的自动筛查工具。

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