Premature Ventricular beat classification using a dynamic Bayesian Network

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 4984-4987

  De Oliveira, Lorena S C ^a   Andreão, Rodrigo V ^b   Sarcinelli Filho, Mario ^c  

^a UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI   (Brazil)

^b INSTITUTO FEDERAL DE EDUCAÇÃO   (Brazil)

^c FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC BAYESIAN NETWORK; HEART BEATS; MIT-BIH DATABASE; PREDICTIVITY; PREMATURE VENTRICULAR BEATS; PREMATURE VENTRICULAR CONTRACTION; SECOND LAYER; STATIC AND DYNAMIC; TEMPORAL RELATION; TWO LAYERS;

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; ELECTROCARDIOGRAPHY;

BAYESIAN NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; HEART VENTRICLE EXTRASYSTOLE; HUMAN; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR PREMATURE COMPLEXES;

EID: 84055193480     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091235     Document Type: Conference Paper

References (8)

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