Application of InP neural network to ECG beat classification

被引：5

作者：

Ölmez, T ^{[1
]}

Dokur, Z ^{[1
]}

机构：

[1] Istanbul Tech Univ, Dept Elect & Commun Engn, TR-80626 Istanbul, Turkey

来源：

NEURAL COMPUTING & APPLICATIONS | 2003年 / 11卷 / 3-4期

关键词：

ECG beat classification; feature extraction; genetic algorithms; neural networks; wavelet transform;

D O I：

10.1007/s00521-003-0351-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an application of a hybrid neural network structure to the classification of the electrocardiogram (ECG) beats. Three different feature extraction methods are comparatively examined: discrete cosine transform, wavelet transform and a direct method. Classification performances, training times and the numbers of nodes of Kohonen network, Restricted Coulomb Energy (RCE) network and the hybrid neural network are presented. To increase the classification performance and to decrease the number of nodes, the hybrid neural network is trained by Genetic Algorithms (GAs). Ten types of ECG beats obtained from the MITBIH database and from a real-time ECG measurement system are classified with a success of 98% by using the hybrid neural network structure and discrete cosine transform together.

引用

页码：144 / 155

页数：12

共 50 条

[1] A Modified Convolutional Neural Network for ECG Beat Classification
Yang, Lulu
Zhu, Junjiang
Yan, Tianhong
Wang, Zhaoyang
Wu, Shangshi
[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2020, 10 (03) : 654 - 660
[2] A trainable neural network ensemble for ECG beat classification
Sajedin, Atena
Zakernejad, Shokoufeh
Faridi, Soheil
Javadi, Mehrdad
Ebrahimpour, Reza
[J]. World Academy of Science, Engineering and Technology, 2010, 69 : 788 - 794
[3] ECG beat classification by a novel hybrid neural network
Dokur, Z
Ölmez, T
[J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2001, 66 (2-3) : 167 - 181
[4] Application of InP Neural Network to ECG BeatClassification
Tamer Ölmez
Zümray Dokur
[J]. Neural Computing & Applications, 2003, 11 : 144 - 155
[5] LSTM Neural Network for Beat Classification in ECG Identity Recognition
Liu, Xin
Si, Yujuan
Wang, Di
[J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2020, 26 (02): : 341 - 351
[6] Bidirectional Recurrent Neural Network and Convolutional Neural Network (BiRCNN) for ECG Beat Classification
Xie, Pengwei
Wang, Guijin
Zhang, Chenshuang
Chen, Ming
Yang, Huazhong
Lv, Tingting
Sang, Zhenhua
Zhang, Ping
[J]. 2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 2555 - 2558
[7] ECG beat classification by a novel hybrid neural network and wavelet transform
Ölmez, T
Dokur, Z
[J]. IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2, 2000, : 718 - 719
[8] Spectral entropy and deep convolutional neural network for ECG beat classification
Asgharzadeh-Bonab, Akbar
Amirani, Mehdi Chehel
Mehri, Alaeddin
[J]. BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2020, 40 (02) : 691 - 700
[9] Combining independent component analysis and backpropagation neural network for ECG beat classification
Yu, Sung-Nien
Chou, Kuan-To
[J]. 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vols 1-15, 2006, : 4556 - 4559
[10] Performance Evaluation of Radial Basis Function Neural Network on ECG Beat Classification
Dogan, Berat
Korurek, Mehmet
[J]. BIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETING, 2009, : 147 - 150

← 1 2 3 4 5 →