An automatic analysis method for detecting and eliminating ECG artifacts in EEG

被引：62
|
作者：
Jiang, Joe-Air
Chao, Chih-Feng
Chiu, Ming-Jang
Lee, Ren-Guey [1 ]
Tseng, Chwan-Lu
Lin, Robert
机构：
[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei 10643, Taiwan
[2] Natl Taiwan Univ, Dept Bioind Mechatron Engn, Taipei 10764, Taiwan
[3] Natl Taiwan Univ Hosp, Dept Neurol, Taipei, Taiwan
来源：
COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 11期
关键词：
EEG rhythms; ECG artifacts; wavelet basis selection criterion; wavelet transform;
D O I：
10.1016/j.compbiomed.2007.03.007
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
An automated method for detecting and eliminating electrocardiograph (ECG) artifacts from electroencephalography (EEG) without an additional synchronous ECG channel is proposed in this paper. Considering the properties of wavelet filters and the relationship between wavelet basis and characteristics of ECG artifacts, the concepts for selecting a suitable wavelet basis and scales used in the process are developed. The analysis via the selected basis is without suffering time shift for decomposition and detection/elimination procedures after wavelet transformation. The detection rates, above 97.5% for MlT/BIH and NTUH recordings, show a pretty good performance in ECG artifact detection and elimination. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1660 / 1671
页数：12
相关论文
共 50 条
  • [1] MP-based method on detecting and eliminating the synchronous ECG artifacts in the EEG signals
    Zhou, Yan-Bo
    Cai, Shi-Min
    Zhou, Tao
    Zhou, Pei-Ling
    2010 4TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING (ICBBE 2010), 2010,
  • [2] An Approach to Detecting and Eliminating Artifacts from the Sleep EEG Signals
    Sekkal, Rym Nihel
    Bereksi-Reguig, Fethi
    Dib, Nabil
    Ruiz-Fernandez, Daniel
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING (IWBBIO 2020), 2020, 12108 : 155 - 160
  • [3] A method of minimization of ECG artifacts in digital EEG
    Maraguei, RA
    ZHURNAL VYSSHEI NERVNOI DEYATELNOSTI IMENI I P PAVLOVA, 2002, 52 (06) : 760 - 764
  • [4] Method of removing ECG artifacts from EEG based on ICA
    Li, XY
    ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 1900 - 1903
  • [5] ECG ARTIFACTS SUPPRESSION FROM THE EEG
    LARSEN, LH
    PRINZ, PN
    ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1991, 79 (03): : 241 - 244
  • [6] Study of independent component analysis and removal of ECG artifacts from EEG
    Zhou, Wei-Dong
    Jia, Lei
    Li, Ying-Yuan
    Zhongguo Shengwu Yixue Gongcheng Xuebao/Chinese Journal of Biomedical Engineering, 2002, 21 (03):
  • [7] AUTOMATIC APPROACH TO EEG - METHOD OF DETECTING NONSTATIONARY POINTS
    VACHON, B
    DUBUISSON, B
    SAMSONDOLFFUS, D
    INTERNATIONAL JOURNAL OF BIO-MEDICAL COMPUTING, 1978, 9 (02): : 147 - 162
  • [8] A new approach to eliminating EOG artifacts from the sleep EEG signals for the automatic sleep stage classification
    Dursun, Mehmet
    Ozsen, Seral
    Yucelbas, Cuneyt
    Yucelbas, Sule
    Tezel, Gulay
    Kuccukturk, Serkan
    Yosunkaya, Sebnem
    NEURAL COMPUTING & APPLICATIONS, 2017, 28 (10): : 3095 - 3112
  • [9] METHOD FOR AN AUTOMATIC-ANALYSIS OF THE ECG
    CAROUBALOS, C
    PERCHE, C
    METAXAKIKOSSIONIDES, C
    SANGRIOTIS, E
    MAROULIS, D
    JOURNAL OF BIOMEDICAL ENGINEERING, 1988, 10 (04): : 343 - 347
  • [10] Cancelling ECG Artifacts in EEG Using a Modified Independent Component Analysis Approach
    Devuyst, Stephanie
    Dutoit, Thierry
    Stenuit, Patricia
    Kerkhofs, Myriam
    Stanus, Etienne
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2008, 2008 (1)
12345