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The stanford EEG corpus: A large open dataset of electroencephalograms from children and adults to support machine learning technology

机译:Stanford EEG语料库:来自儿童和成人的大型开放数据集,以支持机器学习技术

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Introduction: The electroencephalogram (EEG) is a tool for diagnosing seizures and assessing brain electrical activity in physiological and pathological states. It forms the basis for brain-computer interfaces and studies of the basic science of brain function. Clinically, the current gold standard for analyzing EEG is visual inspection. Unfortunately, trained EEG readers are a limited resource and the process of reading EEGs is labor-intensive. This limits access to proper seizure monitoring and prevents advances in treatment.
机译:介绍:脑电图(EEG)是一种用于诊断癫痫发作和评估生理和病理状态的大脑电活动的工具。它构成了大脑 - 计算机界面的基础和脑功能基础科学的研究。临床上,目前用于分析脑电图的金标准是目视检查。不幸的是,训练有素的EEG读者是一个有限的资源,阅读脑电图的过程是劳动密集型的。这限制了对适当的癫痫发作监测并防止治疗的进步。

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