Wavelet-based filtering method for sleep EEG signal

被引：0
|
作者：
Qiang, Hua [1 ]
Yang, Rui [2 ]
Zhang, Guodong [2 ]
机构：
[1] Northwest Polytech Univ, Sch Humanities & Law, Xian 710072, Shaanxi, Peoples R China
[2] Northwest Polytech Univ, Sch Automat, Xian 710072, Shaanxi, Peoples R China
来源：
MECHANICAL AND ELECTRONICS ENGINEERING III, PTS 1-5 | 2012年 / 130-134卷
关键词：
sleep EEG; pretreatment technique; wavelet transform; digital filtering;
D O I：
10.4028/www.scientific.net/AMM.130-134.2160
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: (1).remove white noise from EEG using wavelet threshold method; (2).remove baseline drift from EEG using wavelet decomposition and reconstruction method; (3).remove sharp pulse interference using wavelet modulus maximum algorithm; (4).remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.
引用
收藏
页码：2160 / +
页数：2
相关论文
共 50 条
  • [31] Wavelet-based method for image filtering using scale-space continuity
    Jung, CR
    Scharcanski, J
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2001, 10 (02) : 511 - 520
  • [32] Sleep-stage characterization by nonlinear EEG analysis using wavelet-based multifractal formalism
    Ma, Qianli
    Ning, Xinbao
    Wang, Jun
    Li, Jing
    [J]. 2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 4526 - 4529
  • [33] A wavelet-based measurement of signal fractal dimensions
    Langi, AZR
    Nugraha, HB
    [J]. IEEE CCEC 2002: CANADIAN CONFERENCE ON ELECTRCIAL AND COMPUTER ENGINEERING, VOLS 1-3, CONFERENCE PROCEEDINGS, 2002, : 1001 - 1004
  • [34] Wavelet-based linear system modeling and adaptive filtering
    Doroslovacki, MI
    Fan, H
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1996, 44 (05) : 1156 - 1167
  • [35] Wavelet-Based Approach to Evaluation of Signal Integrity
    Bialasiewicz, Jan T.
    Gonzalez, David
    Balcells, Josep
    Gago, Javier
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (10) : 4590 - 4598
  • [36] Wavelet-based transformations for nonlinear signal processing
    Nowak, RD
    Baraniuk, RG
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (07) : 1852 - 1865
  • [37] Distance protection using a wavelet-based filtering algorithm
    Silva, Kleber M.
    Neves, Washington L. A.
    Souza, Benemar A.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2010, 80 (01) : 84 - 90
  • [38] Model selection for wavelet-based signal estimation
    Cherkassky, V
    Shao, XH
    [J]. IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 843 - 848
  • [39] A fast wavelet-based blind signal separation
    Fahmy, MF
    Amin, OMH
    El-Raheem, GMA
    [J]. PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, 2003, : 239 - 242
  • [40] Wavelet-based decompositions for nonlinear signal processing
    Nowak, RD
    Baraniuk, RG
    [J]. WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING IV, PTS 1 AND 2, 1996, 2825 : 260 - 271
12345