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首页> 外文期刊>Network Daily News >University of London Researchers Release New Data on Engineering (Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach)
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University of London Researchers Release New Data on Engineering (Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach)

机译:伦敦大学研究人员发布了有关工程的新数据(基于深度自动编码器和卷积神经网络方法的运动图像分类EEG信号)

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By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on engineering. According to news reporting originating from London, United Kingdom, by NewsRx correspondents, research stated, “The technology of the brain-computer interface (BCI) employs electroencephalogram (EEG) signals to establish direct interaction between the human body and its surroundings with promising applications in medical rehabilitative services and cognitive science.”
机译:由Network Daily News - 调查人员发布有关工程新闻的新闻记者播放器新闻编辑。 根据NewsRX通讯员的起源于英国伦敦的新闻报道,研究指出:“脑部计算机界面技术(BCI)采用脑电图(EEG)信号来建立人体与其周围环境之间的直接互动 在医学康复服务和认知科学领域。”

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