A hybrid approach for ECG classification based on particle swarm optimization and support vector machine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6678 LNAI, Issue PART 1, 2011, Pages 329-337

  Kopiec, Dawid ^a   Martyna, Jerzy ^a  

^a JAGIELLONIAN UNIVERSITY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROCARDIOGRAPHY; INTELLIGENT SYSTEMS; SUPPORT VECTOR MACHINES; ARTIFICIAL INTELLIGENCE;

A-PARTICLES; ECG CLASSIFICATIONS; ECG RECORDING; HYBRID APPROACH; HYBRID FRAMEWORK; INPUT DATAS; NUMERICAL RESULTS; PRE-PROCESSING METHOD;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 85038026858     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21219-2_42     Document Type: Conference Paper

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