Classification of ECG arrhythmia by a modular neural network based on Mixture of Experts and Negatively Correlated Learning

Biomedical Signal Processing and Control

Volumn 8, Issue 3, 2013, Pages 289-296

  Javadi, Mehrdad ^a   Arani, Seyed Ali Asghar Abbaszadeh ^b   Sajedin, Atena ^a   Ebrahimpour, Reza ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHAHID RAJAEE TEACHER TRAINING UNIVERSITY   (Iran)

Author keywords

ECG beat classification; Mixture of Experts; Negative Correlation Learning; Premature ventricular contraction (PVC); Wavelet transform

Indexed keywords

DISEASES; ECONOMIC AND SOCIAL EFFECTS; ELECTROCARDIOGRAPHY; LEARNING SYSTEMS; MIXTURES; WAVELET TRANSFORMS;

ARRHYTHMIA CLASSIFICATION; CLASSIFICATION METHODS; COMPLEMENTARY FEATURES; ECG BEAT CLASSIFICATIONS; MIXTURE OF EXPERTS; MODULAR NEURAL NETWORKS; NEGATIVE CORRELATION LEARNING; PREMATURE VENTRICULAR CONTRACTION;

NEURAL NETWORKS;

ARTICLE; ARTIFACT; CONTROLLED STUDY; DISEASE CLASSIFICATION; ELECTROCARDIOGRAM; ELECTROCARDIOGRAM ARRHYTHMIA CLASSIFICATION; HEART ARRHYTHMIA; HEART DEPOLARIZATION; HEART VENTRICLE EXTRASYSTOLE; IMAGE ANALYSIS; IMAGE PROCESSING; MACHINE LEARNING; MIXTURE OF EXPERTS AND NEGATIVELY CORRELATED LEARNING; P WAVE; PRIORITY JOURNAL; QRS COMPLEX; T WAVE;

EID: 84875751207     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2012.10.005     Document Type: Article

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