EEG Spatial Analysis based on Brain thermogram Image Recognition

Mingzhen Ding, Ziyi Liu, Guohui Xu, Shudong Ding, Hao Lan Zhang
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Abstract

EEG feature recognition is an important research issue for understanding human brain activities. However, the invasive solution for brain informatics research is causing concerns on its safety and reliability. Therefore, current research in brain informatics field pays more attention on non-invasive brain analysis. In this paper, we introduce a novel solution, which combines EEG signal analysis with EEG heat spots image recognition based on the Convolutional Neural Network (CNN) method. The experimental results demonstrate our solution can enhance the EEG feature recognition.
基于脑热成像图像识别的脑电空间分析
脑电特征识别是了解人类大脑活动的一个重要研究课题。然而,脑信息学研究的侵入性解决方案在安全性和可靠性方面引起了人们的关注。因此,目前脑信息学领域的研究越来越重视无创脑分析。本文提出了一种基于卷积神经网络(CNN)的脑电信号分析与脑电信号热点图像识别相结合的解决方案。实验结果表明,该方法可以提高脑电信号的特征识别能力。
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