Detection of premature ventricular contractions using MLP neural networks: A comparative study

Measurement: Journal of the International Measurement Confederation

Volumn 43, Issue 1, 2010, Pages 103-112

  Ebrahimzadeh, Ataollah ^a   Khazaee, Ali ^a  

^a BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ECG beat classification; MLP neural network; Premature ventricular contraction; Training algorithms; Wavelet transform

Indexed keywords

BEAT CLASSIFICATION; COMPARATIVE STUDIES; CONVERGENCE RATES; DE-NOISING; DETECTION ACCURACY; ELECTROCARDIOGRAM SIGNAL; HEART DISEASE; LEVENBERG-MARQUARDT ALGORITHM; MLP NEURAL NETWORKS; MORPHOLOGICAL FEATURES; MULTILAYER PERCEPTRON NEURAL NETWORKS; NOISE REDUCTIONS; NUMBER OF LAYERS; PREMATURE VENTRICULAR CONTRACTION; RESILIENT BACKPROPAGATION; SPEED OF CONVERGENCE; STATIONARY WAVELET TRANSFORMS; THREE STAGES; TIMING INTERVAL; TRAINING ALGORITHMS;

ALGORITHMS; AUDIO SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FEATURE EXTRACTION; SHRINKAGE; WAVELET TRANSFORMS;

MULTILAYER NEURAL NETWORKS;

EID: 71849109586     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2009.07.002     Document Type: Article

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