Research Progress in Electroencephalogram Signal Processing and Analysis Methods
HAN Wei1,2, ZHUO Yanwen1
, LI Yan1,3, TANG Chi1
, LIU Juan1
, ZHOU Shengyi1
, XIE Kangning1
1. School of Military Biomedical Engineering, Air Force Medical University, Xi’an Shaanxi 710032, China;
2. Department of Medical Engineering, The 987th Hospital of Joint Logistics Support Force, Baoji Shaanxi 721000, China;
3. College of Information Science and Engineering, HuaQiao University, Xiamen Fujian 362021, China
Abstract：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.
韩伟1,2，卓雁文1
，李艳1,3，汤池1
，刘娟1
，周声毅1
，谢康宁1. 脑电信号处理与分析方法研究进展[J]. 中国医疗设备, 2020, 35(4): 149-154.
HAN Wei1,2, ZHUO Yanwen1
, LI Yan1,3, TANG Chi1
, LIU Juan1
, ZHOU Shengyi1
, XIE Kangning1. Research Progress in Electroencephalogram Signal Processing and Analysis Methods. China Medical Devices, 2020, 35(4): 149-154.
