Removal of Ocular Artifacts from Electroencephalo-Graph by Improving Variational Mode Decomposition

作     者：Miao Shi Chao Wang Wei Zhao Xinshi Zhang Ye Ye Nenggang Xie Miao Shi;Chao Wang;Wei Zhao;Xinshi Zhang;Ye Ye;Nenggang Xie

作者机构：Department of Mechanical EngineeringAnhui University of TechnologyAnhuiMa’anshan 243002PR China College of Civil Engineering and ArchitectureAnhui Polytechnic UniversityAnhuiWuhu 241000PR China Department of Computer Science and TechnologyAnhui University of TechnologyAnhuiMa’anshan 243002PR China Institute of Artificial IntelligenceHefei Comprehensive National Science CenterAnhuiHefei230000PR China Department of Management science and EngineeringAnhui University of TechnologyAnhuiMa’anshan 243002PR China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2022年第19卷第2期

页      面：47-61页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0836[工学-生物工程] 

基　　金：supported in part by the Science and Technology Major Project of Anhui Province(Grant No.17030901037) in part by the Humanities and Social Science Fund of Ministry of Education of China(Grant No.19YJAZH098) in part by the Program for Synergy Innovation in the Anhui Higher Education Institutions of China(Grant Nos.GXXT-2020-012,GXXT-2021-044) in part by Science and Technology Planning Project of Wuhu City,Anhui Province,China(Grant No.2021jc1-2) part by Research Start-Up Fund for Introducing Talents from Anhui Polytechnic University(Grant No.2021YQQ066) 

主　　题：ocular artifact variational mode decomposition squirrel search algorithm global guidance ability opposition-based learning 

摘      要：Ocular artifacts in Electroencephalography(EEG)recordings lead to inaccurate results in signal analysis and *** Mode Decomposition(VMD)is an adaptive and completely nonrecursive signal processing *** are two parameters in VMD that have a great influence on the result of signal ***,this paper studies a signal decomposition by improving VMD based on squirrel search algorithm(SSA).It’s improved with abilities of global optimal guidance and opposition based *** original seasonal monitoring condition in SSA is *** feedback of whether the optimal solution is successfully updated is used to establish new seasonal monitoring ***-based learning is introduced to reposition the position of the population in this *** is applied to optimize the important parameters of ***-VMD model is established to remove ocular artifacts from EEG *** have verified the effectiveness of our proposal in a public dataset compared with other *** proposed method improves the SNR of the dataset from-2.03 to 2.30.