Layer-wise Pre-training Mechanism Based on Neural Network for Epilepsy Detection

被引：0

作者：

Lin, Zichao ^{[1
]}

Gu, Zhenghui ^{[1
]}

Li, Yinghao ^{[1
]}

Yu, Zhuliang ^{[1
]}

Li, Yuanqing ^{[1
]}

机构：

[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou, Peoples R China

来源：

2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2020年

基金：

中国国家自然科学基金;

关键词：

epilepsy; electroencephalogram; convolutional neural network; pre-training; FEATURE-EXTRACTION; CLASSIFICATION;

D O I：

10.1109/icaci49185.2020.9177799

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Epilepsy is a common brain disease that has serious negative effects on patients. Electroencephalogram (EEG) is widely used for detecting epileptic signal. Because epilepsy EEG data set is generally small, in this paper, we use a shallow convolutional neural network (CNN) to classify the raw data. To improve the performance of the model, we propose a layer-wise pre-training mechanism. In our experiment, we validate the effectiveness of the method on the public epilepsy EEG data set provided by University of Bonn.

引用

页码：224 / 227

页数：4

共 18 条

[1] Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals [J].

Acharya, U. Rajendra ;

Oh, Shu Lih ;

Hagiwara, Yuki ;

Tan, Jen Hong ;

Adeli, Hojjat .

COMPUTERS IN BIOLOGY AND MEDICINE, 2018, 100 :270-278

[2] Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state [J].

Andrzejak, RG ;

Lehnertz, K ;

Mormann, F ;

Rieke, C ;

David, P ;

Elger, CE .

PHYSICAL REVIEW E, 2001, 64 (06) :8-061907

[3]

[Anonymous], HDB BRAIN THEORY NEU

[4]

Bengio Y., 2006, P ADV NEURALINF PROC, P153, DOI DOI 10.5555/2976456.2976476

[5]

Guo L, 2009, WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09), P177

[6] A Novel Signal Modeling Approach for Classification of Seizure and Seizure-Free EEG Signals [J].

Gupta, Anubha ;

Singh, Pushpendra ;

Karlekar, Mandar .

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (05) :925-935

[7]

Hinton G. E., 1988, P NEUR INF PROC SYST, P358

[8]

Ioffe S, 2015, PR MACH LEARN RES, V37, P448

[9] 1D-local binary pattern based feature extraction for classification of epileptic EEG signals [J].

Kaya, Yilmaz ;

Uyar, Murat ;

Tekin, Ramazan ;

Yildirim, Selcuk .

APPLIED MATHEMATICS AND COMPUTATION, 2014, 243 :209-219

[10] ImageNet Classification with Deep Convolutional Neural Networks [J].

Krizhevsky, Alex ;

Sutskever, Ilya ;

Hinton, Geoffrey E. .

COMMUNICATIONS OF THE ACM, 2017, 60 (06) :84-90

← 1 2 →