A Hybrid Approach for ECG Classification Based on Particle Swarm Optimization and Support Vector Machine

被引：0

作者：

Kopiec, Dawid ^{[1
]}

Martyna, Jerzy ^{[1
]}

机构：

[1] Jagiellonian Univ, Inst Comp Sci, PL-30348 Krakow, Poland

来源：

HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PART I | 2011年 / 6678卷

关键词：

SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we describe a hybrid framework based on Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) for the ECG signal classification. By means of a specially prepared preprocessing method we extracted the most significant features from the 12-lead ECG recording from the standard ECG database. In order to reduce the dimension of the input data a particle swarm optimization (PSO) was used. The numerical results indicated that the presented classifier achieved 94.16% recognition rate.

引用

页码：329 / 337

页数：9

共 50 条

[41] Face recognition method based on support vector machine and particle swarm optimization
Jin Wei
Zhang Jian-qi
Zhang Xiang
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (04) : 4390 - 4393
[42] Power Load Forecasting Based on Support Vector Machine and Particle Swarm Optimization
Ren, Guanghua
Wen, Shiping
Yan, Zheng
Hu, Rui
Zeng, Zhigang
Cao, Yuting
PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 2003 - 2008
[43] Support Vector Machine Based on Chaos Particle Swarm Optimization for Lightning Prediction
Tang, Xianlun
Zhuang, Ling
Gao, Yanghua
ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1, 2011, 104 : 727 - +
[44] A particle swarm optimization based support vector machine for digital communication equalizers
Li, Zey-Ou
Li, Chi-Wen
Chien, Ying-Ren
WSEAS Transactions on Signal Processing, 2014, 10 (01): : 95 - 105
[45] Support vector machine parameter tuning based on particle swarm optimization metaheuristic
Korovkinas, Konstantinas
Danenas, Paulius
Garsva, Gintautas
NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2020, 25 (02): : 266 - 281
[46] Face Recognition based on Opposition Particle Swarm Optimization and Support Vector machine
Hasan, Mohammed
Abdullah, Siti Norul Huda Sheikh
Othman, Zulaiha Ali
2013 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (IEEE ICSIPA 2013), 2013, : 417 - 424
[47] Parameters Optimization for Nonparallel Support Vector Machine by Particle Swarm Optimization
Bamakan, Seyed Mojtaba Hosseini
Wang, Huadong
Ravasan, Ahad Zare
PROMOTING BUSINESS ANALYTICS AND QUANTITATIVE MANAGEMENT OF TECHNOLOGY: 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2016), 2016, 91 : 482 - 491
[48] Particle Swarm Optimization for Parameter Optimization of Support Vector Machine Model
Lu, Ning
Zhou, Jianzhong
He, Yaoyao
Liu, Ying
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS, 2009, : 283 - 286
[49] A New Hybrid KNN Classification Approach based on Particle Swarm Optimization
Kadry, Reem
Ismael, Osama
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (11) : 291 - 296
[50] A New Hybrid KNN Classification Approach based on Particle Swarm Optimization
Kadry R.
Ismael O.
International Journal of Advanced Computer Science and Applications, 2020, 11 (11): : 291 - 296

← 1 2 3 4 5 →