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EEG-Based Brain-Computer Interfaces: A Novel Neurotechnology and Computational Intelligence Method

机译:基于脑电图的脑机接口:一种新型的神经技术和计算智能方法

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Brain-computer interfaces (BCIs) [1], [2] have recently been shown to be the most promising conduits for individuals with disabilities or reduced mobility to allow communication with the external environment or to trigger surrounding devices. BCIs have also been shown to be successful in a wide range of applications, such as personal authentication or identification [3], [4], assessment of emotional disorders [5], games [6], and accident prevention [7], [8]. However, several technical issues in signal acquisition, signal preprocessing, feature extraction, and signal translation must be addressed to facilitate the transition of laboratory-oriented neuroscience research to practical BCI devices (Figure 1).
机译:最近显示,脑机接口(BCI)[1],[2]是残疾人或行动不便人士与外部环境进行通信或触发周围设备的最有希望的渠道。 BCI也已被证明在多种应用中都是成功的,例如个人身份验证或识别[3],[4],情绪障碍评估[5],游戏[6]和事故预防[7],[ 8]。但是,必须解决信号采集,信号预处理,特征提取和信号转换中的一些技术问题,以促进面向实验室的神经科学研究过渡到实际的BCI设备(图1)。

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