Real time ocular and facial muscle artifacts removal from EEG signals using LMS adaptive algorithm

被引：11
|
作者：
Mehrkanoon, Saeid [1 ]
Moghavvemi, Mahmoud [1 ]
Fariborzi, Hossein [1 ]
机构：
[1] Univ Malaya, Dept Elect Engn, Kuala Lumpur, Malaysia
来源：
ICIAS 2007: INTERNATIONAL CONFERENCE ON INTELLIGENT & ADVANCED SYSTEMS, VOLS 1-3, PROCEEDINGS | 2007年
关键词：
real-time-adaptive filter; Least Mean Square; Finite Impulse Response; EEG; EMG; EOG; noise cancellation;
D O I：
10.1109/ICIAS.2007.4658583
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The EEG signal is most useful for clinical diagnosis and in biomedical research. ElectroOculoGram (EOG), ElectroMyoGram (EMG) artifact are produced by eye movement and facial muscle movement respectively. An adaptive filtering method is proposed to remove these artifacts signals from EEG signals. Proposed method uses horizontal EOG (HEOG), vertical EOG (VEOG), and EMG signals as three reference digital filter inputs. The real-time artifact removal is implemented by multi-channel Least Mean Square algorithm. The resulting EEG signals display an accurate and artifact free feature.
引用
收藏
页码：1245 / 1250
页数：6
相关论文
共 50 条
  • [31] Real-time ocular artifacts removal of EEG data using a hybrid ICA-ANC approach
    Jafarifarmand, Aysa
    Badamchizadeh, Mohammad-Ali
    Khanmohammadi, Sohrab
    Nazari, Mohammad Ali
    Tazehkand, Behzad Mozaffari
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2017, 31 : 199 - 210
  • [32] Removal of Ocular Artifacts in EEG Using Deep Learning
    Ozdemir, Mehmet Akif
    Kizilisik, Sumeyye
    Guren, Onan
    2022 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO'22), 2022,
  • [33] Real-time removal of ocular artifacts from EEG based on independent component analysis and manifold learning
    Junfeng Gao
    Pan Lin
    Yong Yang
    Pei Wang
    Chongxun Zheng
    Neural Computing and Applications, 2010, 19 : 1217 - 1226
  • [34] Removal of Eye Blink Artifacts From EEG Signals Using Sparsity
    Sreeja, S. R.
    Sahay, Rajiv Ranjan
    Samanta, Debasis
    Mitra, Pabitra
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2018, 22 (05) : 1362 - 1372
  • [35] Real-time removal of ocular artifacts from EEG based on independent component analysis and manifold learning
    Gao, Junfeng
    Lin, Pan
    Yang, Yong
    Wang, Pei
    Zheng, Chongxun
    NEURAL COMPUTING & APPLICATIONS, 2010, 19 (08): : 1217 - 1226
  • [36] SOBINMF for automatic removal of ocular artifacts from the EEG
    Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1, Okubo, Shinjuku-ku, Tokyo
    169-8555, Japan
    不详
    214-8571, Japan
    IEEJ Trans. Electron. Inf. Syst., 8 (954-962):
  • [37] Performance of Variable Step Size LMS Adaptive Algorithm for the Removal of Artifacts from Electrocardiogram Using DSP processor
    Gowri, T.
    Kumar, P. Rajesh
    Reddy, Koti D. V. R.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 342 - 346
  • [38] Ocular Artifact Elimination from EEG signals using RVFF-RLS Adaptive Algorithm
    Chintala, Sridhar
    Thangaraj, Jaisingh
    2020 TWENTY SIXTH NATIONAL CONFERENCE ON COMMUNICATIONS (NCC 2020), 2020,
  • [39] Removal of ocular artifacts from EEG: A comparison of adaptive filtering method and regression method using simulated data
    He, P.
    Kahle, M.
    Wilson, G.
    Russell, C.
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 1110 - 1113
  • [40] Using ICA for removal of ocular artifacts in EEG recorded from blind subjects
    Flexer, A
    Bauer, H
    Pripfl, J
    Dorffner, G
    NEURAL NETWORKS, 2005, 18 (07) : 998 - 1005
12345