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[基于脑电图信号的神经反馈系统研究]

[Study on neurofeedback system based on electroencephalogram signals].

作者信息

Pu Xianjie, Liu Tiejun, Wu Qiang, Zhang Rui, Xu Peng, Li Ke, Xia Yang, Yao Dezhong

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2014 Aug;31(4):894-8.

Abstract

Neurofeedback, as an alternative treatment method of behavioral medicine, is a technique which translates the electroencephalogram (EEG) signals to styles as sounds or animation to help people understand their own physical status and learn to enhance or suppress certain EEG signals to regulate their own brain functions after several repeated trainings. This paper develops a neurofeedback system on the foundation of brain-computer interface technique. The EEG features are extracted through real-time signal process and then translated to feedback information. Two feedback screens are designed for relaxation training and attention training individually. The veracity and feasibility of the neurofeedback system are validated through system simulation and preliminary experiment.

摘要

神经反馈作为行为医学的一种替代治疗方法,是一种将脑电图(EEG)信号转换为声音或动画等形式,以帮助人们了解自身身体状况,并通过多次重复训练后学会增强或抑制某些EEG信号来调节自身大脑功能的技术。本文基于脑机接口技术开发了一种神经反馈系统。通过实时信号处理提取EEG特征,然后将其转换为反馈信息。分别设计了两个反馈屏幕用于放松训练和注意力训练。通过系统仿真和初步实验验证了神经反馈系统的准确性和可行性。

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