Fetal ECG extraction using multi-layer perceptron neural networks with bayesian approach

IFMBE Proceedings

Volumn 22, Issue , 2008, Pages 1378-1385

  Golzan, S Mojtaba ^a   Hakimpour, Farzaneh ^b   Mikaili, Mohammad ^a   Toolou, Alireza ^c  

^a SHAHED UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^c MILAD HOSPITAL   (Iran)

Author keywords

Bayesian Formulation; Fetal electrocardiogram; Maternal electrocardiogram; Maximum Likelihood Formulation; Neural Networks

Indexed keywords

BAYESIAN; BAYESIAN APPROACHES; BAYESIAN FORMULATION; BAYESIAN LEARNING; CLASSIFICATION DECISION; CLASSIFICATION PREDICTION; COMPUTATIONAL OVERHEADS; ECG DATA; FEATURE EXTRACTION AND CLASSIFICATION; FETAL ECG; FETAL ELECTROCARDIOGRAM; IMAGINARY PARTS; MATERNAL ECG; MATERNAL ELECTROCARDIOGRAM; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; PREGNANT WOMAN; REJECTION THRESHOLD; TRAINED NEURAL NETWORKS; TRAINING DATA;

BAYESIAN NETWORKS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FAST FOURIER TRANSFORMS; FEATURE EXTRACTION; MAXIMUM LIKELIHOOD; METADATA; PRINCIPAL COMPONENT ANALYSIS; WAVELET TRANSFORMS;

NEURAL NETWORKS;

EID: 70350633829     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-89208-3_327     Document Type: Conference Paper

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