中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 合肥物质科学研究院
  3. 中国科学院合肥物质科学研究院
A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN

文献类型：期刊论文

作者Li, Zebin1,2,3; Gao, Lifu1,2; Lu, Wei1,2; Wang, Daqing1; Cao, Huibin1; Zhang, Gang3
刊名JOURNAL OF SENSORS
出版日期2022-09-06
卷号2022
ISSN号1687-725X
DOI10.1155/2022/4239211
通讯作者Li, Zebin(14000005@wxc.edu.cn) ; Gao, Lifu(lifugao@iim.ac.cn)
英文摘要Mechanomyography (MMG) signals have extensive applications in muscle function assessment and human intention recognition. However, during signal acquisition, MMG signals are easily contaminated by noise and artifacts, which seriously affects the recognition of their characteristics. To address these issues, a novel noise suppression and artifact removal method based on recursive least square (RLS), improved Gray Wolf Optimizer-optimized variable mode decomposition (IGWO-VMD), and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed. In this paper, the RLS algorithm is first applied to adaptively filter out the power line interference (PLI). Then, IGWO is designed to select the appropriate VMD parameters and use the VMD to decompose the noisy signal into band-limited intrinsic mode functions (BLIMFs). In addition, the BLIMFs are classified into the low-frequency part and high-frequency part according to the given correlation coefficient (CC) threshold value. The effective components of the low-frequency part are identified by the center frequency. Meanwhile, the high-frequency part is decomposed by CEEMDAN, and its effective components are obtained according to the proposed sample entropy threshold range. Finally, the effective components of the low and high-frequency parts are reconstructed to obtain the denoised signal to realize the extraction of useful signals. Simulation experiment results demonstrate that the proposed method outperforms the classical methods and the designed IGWO-VMD method in terms of denoising performance. The effectiveness of the proposed method is verified through the measured MMG signal experiments. The proposed method not only effectively suppresses noise and artifacts but also overcomes the limitations of VMD and CCEMDAN.
WOS关键词EMPIRICAL MODE DECOMPOSITION ; OPTIMIZATION ALGORITHM ; EMD ; SIGNALS
资助项目National Natural Science Foundation of China ; Key Scientific Research Projects of Anhui Province Higher Education ; Strategic Priority Research Program of the Chinese Academy of Sciences ; University Synergy Innovation Program of Anhui Province ; HFIPS Director's Fund ; [92067205] ; [KJ2020A0630] ; [XDA22040303] ; [GXXT-2021-026] ; [YZJJ2021QN25]
WOS研究方向Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000860924500006
出版者HINDAWI LTD
资助机构National Natural Science Foundation of China ; Key Scientific Research Projects of Anhui Province Higher Education ; Strategic Priority Research Program of the Chinese Academy of Sciences ; University Synergy Innovation Program of Anhui Province ; HFIPS Director's Fund
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129187]  
专题中国科学院合肥物质科学研究院
通讯作者Li, Zebin; Gao, Lifu
作者单位1.Chinese Acad Sci, Inst Intelligent Machines, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Univ Sci & Technol China, Dept Sci Isl, Hefei 230026, Peoples R China
3.West Anhui Univ, Sch Elect & Photoelect Engn, Luan 237012, Peoples R China
推荐引用方式
GB/T 7714		 Li, Zebin,Gao, Lifu,Lu, Wei,et al. A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN[J]. JOURNAL OF SENSORS,2022,2022.
APA Li, Zebin,Gao, Lifu,Lu, Wei,Wang, Daqing,Cao, Huibin,&Zhang, Gang.(2022).A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN.JOURNAL OF SENSORS,2022.
MLA Li, Zebin,et al."A Novel Noise Suppression and Artifact Removal Method of Mechanomyography Based on RLS, IGWO-VMD, and CEEMDAN".JOURNAL OF SENSORS 2022(2022).

入库方式： OAI收割

来源：合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。