首页> 外文会议>Annual Meeting of the North American Fuzzy Information Processing Society >The transferal of evidences derived from clinical research to single patient level: Automatic distinction of normal elderly vs. mild cognitive impairment subjects by resting EEG data processed by IFAST, a novel intelligent system
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The transferal of evidences derived from clinical research to single patient level: Automatic distinction of normal elderly vs. mild cognitive impairment subjects by resting EEG data processed by IFAST, a novel intelligent system

机译:从临床研究到单人患者水平的证据转移:通过休息IF载体的EEG数据,自动区分正常的老年人与轻度认知障碍科目,这是一种新颖的智能系统

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It has been shown that a new procedure (implicit function as squashing time, IFAST) based on artificial neural networks (ANNs) is able to compress eyes-closed resting electroencephalographic (EEG) data into spatial invariants of the instant voltage distri
机译:已经表明,基于人工神经网络(ANNS)的新程序(隐式功能为挤压时间,iF载)能够将眼睛关闭静止脑电图(EEG)数据压缩成即时电压DESTI的空间不变

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