Automated detection of atrial fibrillation using Bayesian paradigm

Knowledge-Based Systems

Volumn 54, Issue , 2013, Pages 269-275

  Martis, Roshan Joy ^a   Acharya, U Rajendra ^a,b   Prasad, Hari ^c   Chua, Chua Kuang ^a   Lim, Choo Min ^a  

^a DEPARTMENT OF ELECTRONICS AND COMPUTER ENGINEERING   (Singapore)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Atrial fibrillation; Error bounds; Gaussian mixture model (GMM); Independent component analysis (ICA); Naive Bayes classifier

Indexed keywords

CLASSIFIERS; COMPUTER AIDED DIAGNOSIS; DISEASES; ELECTROCARDIOGRAPHY; ERROR ANALYSIS; ERRORS; GAUSSIAN DISTRIBUTION; LEARNING SYSTEMS; MEDICAL COMPUTING;

ATRIAL FIBRILLATION; ERROR BOUND; GAUSSIAN MIXTURE MODEL; INDEPENDENT COMPONENT ANALYSIS(ICA); NAIVE BAYES CLASSIFIERS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84901756248     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.09.016     Document Type: Article

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