Finding features for real-time premature ventricular contraction detection using a fuzzy neural network system

IEEE Transactions on Neural Networks

Volumn 20, Issue 3, 2009, Pages 522-527

  Lim, Joon S ^a  

^a Gachon University College of Medicine   (South Korea)

Author keywords

Feature selection; Fuzzy neural networks (FNNs); Premature ventricular contraction (PVC) classification; Wavelet transform (WT); Weighted fuzzy membership function

Indexed keywords

FEATURE EXTRACTION; MEMBERSHIP FUNCTIONS; MICROCONTROLLERS; PLASTIC PRODUCTS; SHEAR WAVES; SHRINKAGE; WAVELET TRANSFORMS; WIRELESS NETWORKS;

ACCURACY RATES; DATA SETS; DISTRIBUTION MEASUREMENTS; FEATURE SELECTION; FUZZY NEURAL NETWORK SYSTEMS; GENERALIZED COEFFICIENTS; MOBILE ENVIRONMENTS; NON OVERLAPS; PREDICTIVE RULES; PREMATURE VENTRICULAR CONTRACTION (PVC) CLASSIFICATION; Q WAVES; QRS COMPLEXES; S-WAVES; TIME SIGNALS; WEIGHTED FUZZY MEMBERSHIP FUNCTION;

FUZZY NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; FUZZY LOGIC; HEART VENTRICLE; HEART VENTRICLE EXTRASYSTOLE; HUMAN; MUSCLE CONTRACTION; PATHOPHYSIOLOGY; SIGNAL PROCESSING;

ALGORITHMS; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; FUZZY LOGIC; HEART VENTRICLES; HUMANS; MUSCLE CONTRACTION; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SIGNAL PROCESSING, COMPUTER-ASSISTED; VENTRICULAR PREMATURE COMPLEXES;

EID: 63049138896     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2012031     Document Type: Article

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