An arrhythmia classification method based on selected features of heart rate variability signal and support vector machine-based classifier

IFMBE Proceedings

Volumn 25, Issue 4, 2009, Pages 1928-1931

  Yaghouby, F ^a   Ayatollahi, A ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Arrhythmia classification; Forward floating feature selection; Heart rate variability signal; Support vector machine

Indexed keywords

BIOINFORMATICS; BIOMECHANICS; BIOMEDICAL ENGINEERING; BIOPHYSICS; CARDIOLOGY; DISEASES; FEATURE EXTRACTION; HEART; LEARNING SYSTEMS; MEDICAL IMAGE PROCESSING; MEDICAL PHYSICS; SUPPORT VECTOR MACHINES;

ARRHYTHMIA CLASSIFICATION; CLASSIFICATION ALGORITHM; FLOATING FEATURE SELECTION; HEART RATE VARIABILITY; HEART RATE VARIABILITY SIGNALS; MULTICLASS CLASSIFICATION PROBLEMS; VENTRICULAR BIGEMINY; VENTRICULAR FIBRILLATION;

CLASSIFICATION (OF INFORMATION);

EID: 77950182268     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-03882-2_512     Document Type: Conference Paper

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