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Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
Zeng, Wei; Yuan, Jian; Yuan, Chengzhi; Wang, Qinghui; Liu, Fenglin; Wang, Ying.
Afiliação
  • Zeng W; School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, PR China. Electronic address: zw0597@126.com.
  • Yuan J; School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, PR China.
  • Yuan C; Department of Mechanical, Industrial and Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA.
  • Wang Q; School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, PR China.
  • Liu F; School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, PR China.
  • Wang Y; School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan 364012, PR China.
Artif Intell Med ; 106: 101848, 2020 06.
Article em En | MEDLINE | ID: mdl-32593387
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Ondaletas / Infarto do Miocárdio Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Artif Intell Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Ondaletas / Infarto do Miocárdio Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Artif Intell Med Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article