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A Novel Method for Automatic Detection of Arrhythmias Using the Unsupervised Convolutional Neural Network

Junming Zhang

Junming Zhang

  • College of Information Engineering, Huanghuai UniversityHenan, China
  • Henan Key Laboratory of Smart LightingHenan, China
  • Henan Joint International Research Laboratory of Behavior Optimization Control for Smart RobotsHenan, China
  • Zhumadian Artificial Intelligence & Medical Engineering Technical Research CentreHenan, China
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Zhang, Junming
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Ruxian Yao

Ruxian Yao

  • College of Information Engineering, Huanghuai UniversityHenan, China
  • Henan Key Laboratory of Smart LightingHenan, China
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Yao, Ruxian
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Jinfeng Gao

Jinfeng Gao

  • College of Information Engineering, Huanghuai UniversityHenan, China
  • Henan Key Laboratory of Smart LightingHenan, China
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Gao, Jinfeng
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Gangqiang Li

Gangqiang Li

  • College of Information Engineering, Huanghuai UniversityHenan, China
  • Henan Key Laboratory of Smart LightingHenan, China
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Li, Gangqiang
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Haitao Wu

Haitao Wu

  • College of Information Engineering, Huanghuai UniversityHenan, China
  • Henan Key Laboratory of Smart LightingHenan, China
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Wu, Haitao
  
23 giu 2023
A Novel Method for Automatic Detection of Arrhythmias Using the Unsupervised Convolutional Neural Network's Cover Image
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Pubblicato online: 23 giu 2023
Pagine: 181 - 196
Ricevuto: 28 gen 2023
Accettato: 17 mag 2023
DOI: https://doi.org/10.2478/jaiscr-2023-0014
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© 2023 Junming Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Zhang, Junming ORCID Icon
College of Information Engineering, Huanghuai UniversityHenan, China
Henan Key Laboratory of Smart LightingHenan, China
Henan Joint International Research Laboratory of Behavior Optimization Control for Smart RobotsHenan, China
Zhumadian Artificial Intelligence & Medical Engineering Technical Research CentreHenan, China
Yao, Ruxian ORCID Icon
College of Information Engineering, Huanghuai UniversityHenan, China
Henan Key Laboratory of Smart LightingHenan, China
Gao, Jinfeng ORCID Icon
College of Information Engineering, Huanghuai UniversityHenan, China
Henan Key Laboratory of Smart LightingHenan, China
Li, Gangqiang ORCID Icon
College of Information Engineering, Huanghuai UniversityHenan, China
Henan Key Laboratory of Smart LightingHenan, China
Wu, Haitao ORCID Icon
College of Information Engineering, Huanghuai UniversityHenan, China
Henan Key Laboratory of Smart LightingHenan, China
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Informatica, Base dati e data mining, Intelligenza artificiale
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