摘要
脑电信号是人体中枢神经系统中大量神经元的同步电生理活动在大脑皮层和头皮表面的整体反应,对脑电信号进行处理分析对于探索大脑工作机制和诊治脑神经系统疾病具有重要意义。本文针对国内外近五年来与脑电信号处理与分析相关的研究进行了归纳整理,按照时频分析、高阶谱分析、非线性动力学和人工神经网络四类方法分别进行了回顾总结,概括展示了最新的研究成果。希望为学者们了解脑电信号处理与分析的研究现状,选择恰当的处理与分析方法提供一定的借鉴和参考。
The electroencephalogram signal is the overall response of the synchronous electrophysiological activities of a large number of neurons in the human central nervous system in the cerebral cortex and scalp surface.The processing and analysis of electroencephalogram signals are of great significance for exploring the working mechanism of brain and to diagnose and treating diseases of brain nervous system.This paper reviewed and summarized the latest research results related to electroencephalogram signal processing and analysis at home and abroad in recent five years,and mainly sorts out them according to four kinds of methods:time-frequency analysis,high-order spectrum analysis,nonlinear dynamics and artificial neural network.We hope this paper can provide some references for scholars to get the current research status and to choose appropriate methods of electroencephalogram processing and analysis.
作者
韩伟
卓雁文
李艳
汤池
刘娟
周声毅
谢康宁
HAN Wei;ZHUO Yanwen;LI Yan;TANG Chi;LIU Juan;ZHOU Shengyi;XIE Kangning(School of Military Biomedical Engineering,Air Force Medical University,Xi’an Shaanxi 710032,China;Department of Medical Engineering,The 987th Hospital of Joint Logistics Support Force,Baoji Shaanxi 721000,China;College of Information Science and Engineering,HuaQiao University,Xiamen Fujian 362021,China)
出处
《中国医疗设备》
2020年第4期149-154,共6页
China Medical Devices
基金
军队重大项目、军队医学科技青年培育计划。
关键词
脑电信号
时频分析
高阶谱分析
非线性动力学
人工神经网络
electroencephalogram signal
time-frequency analysis
higher-order spectrum analysis
non-linear dynamics
artificial neural network
