Evaluation of an automatic ocular filtering method for awake spontaneous EEG signals based on Independent Component Analysis

被引：0

作者：

Romero, S ^{[1
]}

Mañanas, MA ^{[1
]}

Riba, J ^{[1
]}

Morte, A ^{[1
]}

Gimenez, S ^{[1
]}

Close, S ^{[1
]}

Barbanoj, MJ ^{[1
]}

机构：

[1] UPC, Dept ESAII, Ctr Recerca Engn Biomed, Barcelona, Spain

来源：

PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2004年 / 26卷

关键词：

EEG; ICA; ocular artifacts; regression analysis;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Electroencephalographic artifacts associated with eye movements are a potential source of error in the EEG analysis when its interpretation is performed for evaluating the influence of drugs and the diagnosis of neurological disorders. In this study, a new automatic method for artifact filtering based on Independent Component Analysis (ICA) is proposed. Automatic artifact identification is based on frequency domain and scalp topography aspects of the independent components. A comparative study between ICA and the 'gold standard' method based on linear regression analysis is performed. The latter does not take into account the mutual contamination between EEG and electrooculographic activity, reducing not only the ocular movements but also interesting cerebral activity, mainly in anteriorly placed electrodes. This limitation is overcome by ICA and the efficiency of this approach is shown for a double-blind, placebo-controlled crossover drug trial in healthy volunteers.

引用

页码：925 / 928

页数：4

共 50 条

[1] Reduction of ocular artifacts from sleep EEG signals using the independent component analysis method
Lazar, AM
Maiorescu, VA
BEC 2002: Proceedings of the 8th Biennial Baltic Electronic Conference, 2002, : 377 - 380
[2] Independent component analysis of EEG signals
Sun, LS
Liu, Y
Beadle, PJ
PROCEEDINGS OF 2005 IEEE INTERNATIONAL WORKSHOP ON VLSI DESIGN AND VIDEO TECHNOLOGY, 2005, : 219 - 222
[3] Evaluation of a Method of Removing Head Movement Artifact from EEG by Independent Component Analysis and Filtering
Onikura, Kazuki
Katayama, Yoshinori
Iramina, Keiji
ADVANCED BIOMEDICAL ENGINEERING, 2015, 4 : 67 - 72
[4] A fully automatic method for ocular artifact suppression from EEG data using wavelet transform and independent component analysis
Ghandeharion, Hosna
Erfanian, Abbas
2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 4117 - +
[5] Automatic removal of ocular artefacts using adaptive filtering and independent component analysis for electroencephalogram data
Guerrero-Mosquera, C.
Navia-Vazquez, A.
IET SIGNAL PROCESSING, 2012, 6 (02) : 99 - 106
[6] Automatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterion
Cinar, Salim
Acir, Nurettin
2016 MEDICAL TECHNOLOGIES NATIONAL CONFERENCE (TIPTEKNO), 2015,
[7] Independent component analysis in extracting characteristic signals in EEG
Chen, HF
Zeng, M
Yao, DZ
IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2, 2000, : 189 - 190
[8] Automatic ocular artifact rejection based on Independent Component Analysis and eyeblink detection
Delsanto, S
Lamberti, F
Montrucchio, B
1ST INTERNATIONAL IEEE EMBS CONFERENCE ON NEURAL ENGINEERING 2003, CONFERENCE PROCEEDINGS, 2003, : 309 - 312
[9] Automatic Removal of Ocular Artefacts in EEG Signal by Using Independent Component Analysis and Artificial Neural Network
CInar, Salim
Menguc, Engin Cemal
Acir, Nurettin
2017 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO), 2017,
[10] Independent Component Analysis for meaningful peaks detection in EEG signals
Azzerboni, B
Ipsale, M
La Foresta, F
Morabito, FC
PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MEASUREMENT SYSTEMS AND APPLICATIONS, 2005, : 91 - 95

← 1 2 3 4 5 →