Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection

BioMedical Engineering Online

Volumn 11, Issue , 2012, Pages

  Park, Jinho ^a   Pedrycz, Witold ^b,c   Jeon, Moongu ^a  

^a Gwangju Institute of Science and Technology (GIST)   (South Korea)

^b UNIVERSITY OF ALBERTA   (Canada)

^c SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Discrete wavelet transform; ECG baseline wandering removal; Kernel density estimation; Myocardial ischemia; QRS complex detection; Support vector machine

Indexed keywords

BASELINE WANDERING; BASELINE WANDERING REMOVAL; DETECTING TIME; ECG WAVEFORMS; FEATURE VALUES; HEART BEATS; KERNEL DENSITY ESTIMATION; MYOCARDIAL ISCHEMIA; NUMERICAL VALUES; QRS COMPLEX DETECTION; QRS COMPLEXES; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING TECHNIQUE; SINGLE PARAMETER; SVM CLASSIFIERS; TRAINING AND TESTING; ZERO VOLTAGE;

ALGORITHMS; COMPLEXATION; DISCRETE WAVELET TRANSFORMS; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; SIGNAL PROCESSING; STATISTICS;

SUPPORT VECTOR MACHINES;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROCARDIOGRAPHY; HEART MUSCLE ISCHEMIA; HUMAN; METHODOLOGY; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

ELECTROCARDIOGRAPHY; HUMANS; MYOCARDIAL ISCHEMIA; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

EID: 84862179767     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-11-30     Document Type: Article

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