Classification of ECG arrhythmia using learning vector quantization neural networks

Proceedings - The 2009 International Conference on Computer Engineering and Systems, ICCES'09

Volumn , Issue , 2009, Pages 139-144

  Elsayad, Alaa M ^a  

^a Electronics Research Institute ^*  (Egypt)

Author keywords

ECG arrhythmia, principal component analysis (PCA); Learning vector quantization (LVQ)

Indexed keywords

BIOSIGNALS; CLASS BOUNDARY; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION ERRORS; CLASSIFICATION PERFORMANCE; DATA SETS; DENSITY FUNCTIONS; EXTENDED RESEARCHES; INPUT FEATURES; LEARNING VECTOR QUANTIZATION; LEARNING VECTOR QUANTIZATION NEURAL NETWORK; LEARNING VECTOR QUANTIZATION NEURAL NETWORKS; LVQ NEURAL NETWORK; NEAREST NEIGHBOR RULE; RAPID CONVERGENCE;

BACKPROPAGATION; DATA FLOW ANALYSIS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; NEURAL NETWORKS; STATISTICAL TESTS; VECTOR QUANTIZATION; VECTORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77950420366     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCES.2009.5383295     Document Type: Conference Paper

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