The use of genetic algorithms for solving the inverse problem of electrocardiography

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 3907-3910

  Jiang, Mingfeng ^a,b   Xia, Ling ^a   Shou, Guofa ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG SCI TECH UNIVERSITY   (China)

Author keywords

Discrepancy principle; Genetic algorithms; Inverse problem; Tikhonov regularization

Indexed keywords

CONSTRAINT THEORY; ELECTROCARDIOGRAPHY; INVERSE PROBLEMS; OPTIMIZATION;

DISCREPANCY PRINCIPLES; EFFICIENT OPTIMIZATION TECHNIQUE; TIKHONOV REGULARIZATION;

GENETIC ALGORITHMS;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; ELECTROCARDIOGRAPHY; MATHEMATICS; METHODOLOGY; REPRODUCIBILITY;

ALGORITHMS; ELECTROCARDIOGRAPHY; MATHEMATICS; MODELS, GENETIC; REPRODUCIBILITY OF RESULTS;

EID: 34047101471     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.259672     Document Type: Conference Paper

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