EEG Epileptic Seizures Separation with Multivariate Empirical Mode Decomposition for Diagnostic Purposes

被引：0
作者：
Rutkowski, Tomasz M. [1 ]
Struzik, Zbigniew R. [2 ]
Mandic, Danilo P. [3 ,4 ]
机构：
[1] Univ Tsukuba, Life Sci Ctr TARA, Tsukuba, Ibaraki 305, Japan
[2] Univ Tokyo, RIKEN, Bunkyo, Tokyo, Japan
[3] Imperial Coll London, Kensington, England
[4] RIKEN, Brain Sci Inst, Bunkyo, Tokyo, Japan
来源：
2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2013年
基金：
日本学术振兴会;
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
We present a successful application of a soft computing approach based on the multivariate empirical mode decomposition (MEMD) method to EEG epileptic seizures separation. The results of the automatic multivatiate intrinsic mode functions (IMF) clustering allowed us to separate the seizure related spikes and sharp waves. The results of the proposed method have been compared with classical blind separation approach based on ICA, which failed to identify the non-linear and non-stationary signals related to the brain seizures. The proposed method supports epileptic seizure diagnostic methods.
引用
收藏
页码：7128 / 7131
页数：4
相关论文
共 50 条
[1]   An Epileptic Seizures Detection Algorithm based on the Empirical Mode Decomposition of EEG [J].
Orosco, Lorena ;
Laciar, Eric ;
Garces Correa, Agustina ;
Torres, Abel ;
Graffigna, Juan P. .
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, :2651-2654
[2]   Detection of Epileptic Seizures by the Analysis of EEG Signals Using Empirical Mode Decomposition [J].
Yol, Seyma ;
Ozdemir, Mehmet Akif ;
Akan, Aydin ;
Chaparro, Luis F. .
2018 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO), 2018,
[3]   Multiparametric Detection of Epileptic Seizures using Empirical Mode Decomposition of EEG Records [J].
Orosco, Lorena ;
Garces Correa, Agustina ;
Laciar, Eric .
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, :951-954
[4]   Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting [J].
Wu, Jiang ;
Zhou, Tengfei ;
Li, Taiyong .
ENTROPY, 2020, 22 (02)
[5]   Autoregressive Modeling Based Empirical Mode Decomposition (EMD) for Epileptic Seizures Detection Using EEG Signals [J].
Rafik, Djemili ;
Larbi, Boubchir .
TRAITEMENT DU SIGNAL, 2019, 36 (03) :273-279
[6]   EEG-Based Prediction of Epileptic Seizures Using Phase Synchronization Elicited from Noise-Assisted Multivariate Empirical Mode Decomposition [J].
Cho, Dongrae ;
Min, Beomjun ;
Kim, Jongin ;
Lee, Boreom .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (08) :1309-1318
[7]   Comparison of Hilbert Vibration Decomposition with Empirical Mode Decomposition for Classifying Epileptic Seizures [J].
Buyukcakir, Barkin ;
Mutlu, Ali Yener .
2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2018, :357-362
[8]   Epileptic Seizure Classification with Multivariate Empirical Mode Decomposition and Hilbert Vibration Decomposition [J].
Buyukcakir, Barkin ;
Mutlu, Ali Yener .
2019 27TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2019,
[9]   Investigation of Epileptic EEG Data Using Ensemble Empirical Mode Decomposition [J].
Cura, Ozlem Karabiber ;
Akan, Aydin .
2017 MEDICAL TECHNOLOGIES NATIONAL CONGRESS (TIPTEKNO), 2017,
[10]   Classification of Epileptic EEG Data by Using Ensemble Empirical Mode Decomposition [J].
Cura, Ozlem Karabiber ;
Atli, Sibel Kocaaslan ;
Sadighzadeh, Reza ;
Akan, Aydin .
2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
12345