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1. 发明授权

US5724987A Neurocognitive adaptive computer-aided training method and system 失效
标题翻译：神经认知自适应计算机辅助训练方法及系统
公开(公告)号：US5724987A
公开(公告)日：1998-03-10
申请号：US504653
申请日：1995-07-20
申请人： Alan Gevins , Harrison Leong , Isabel Sam-Vargas , Michael Smith
发明人： Alan Gevins , Harrison Leong , Isabel Sam-Vargas , Michael Smith
IPC分类号： A61B5/0484 , A61B5/16 , A61B5/0476
CPC分类号： A61B5/16 , A61B5/0484 , A61B5/7264
摘要： A computer-aided training system uses electroencephalograms (EEGs) recorded from the trainee's scalp to alter the training protocol being presented by the computer, for example to present a new task to the trainee when he or she has mastered and automatized the current task. The index of the trainee's skill mastery and automatization is determined by analysis of the EEG using mathematical classification functions which distinguish different levels of skill acquisition. The functions are computed by computer neural networks and consist of a combination of EEG and other physiological variables which specifically characterize a trainee's level of focused attention and neurocognitive workload and his or her neurocognitive strategy. The functions are derived either for a group of trainees, or each trainee individually, performing a battery of one or more standard training tasks while wearing an EEG hat.
摘要翻译：计算机辅助训练系统使用从受训者的头皮记录的脑电图（EEG）来改变计算机呈现的训练协议，例如当他或她已经掌握和自动化当前任务时，向受训者呈现新的任务。受训者的技能掌握和自动化的指标是通过使用区分不同技能获取水平的数学分类函数对脑电图进行分析来确定的。这些功能由计算机神经网络计算，并由EEG和其他生理变量的组合组成，它们特别表征受训者的集中注意力和神经认知工作量以及他或她的神经认知策略。这些功能是针对一组学员或每个学员单独导出的，在佩戴EEG帽子的同时执行一个或多个标准训练任务的电池。

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