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Deep arrhythmia classification based on SENet and lightweight context transform.
Zeng, Yuni; Lv, Hang; Jiang, Mingfeng; Zhang, Jucheng; Xia, Ling; Wang, Yaming; Wang, Zhikang.
Afiliação
  • Zeng Y; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Lv H; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Jiang M; School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China.
  • Zhang J; Department of Clinical Engineering, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310019, China.
  • Xia L; Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
  • Wang Y; Lishui University, Lishui 323000, China.
  • Wang Z; Department of Clinical Engineering, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310019, China.
Math Biosci Eng ; 20(1): 1-17, 2023 01.
Article em En | MEDLINE | ID: mdl-36650754
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Análise de Ondaletas Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Análise de Ondaletas Idioma: En Ano de publicação: 2023 Tipo de documento: Article