Your browser doesn't support javascript.
loading
[Design and Implementation of Software Platform for AI-ECG Algorithm Research].
Yan, Ruiyang; Ding, Xiaoman; Deng, Xintao; Wang, Aiguo; Yang, Cuiwei.
Afiliação
  • Yan R; Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, 200433.
  • Ding X; Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, 200433.
  • Deng X; Department of Cardiology, Xinghua People's Hospital, Xinghua, 225700.
  • Wang A; Department of Cardiology, Xinghua People's Hospital, Xinghua, 225700.
  • Yang C; Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai, 200433.
Zhongguo Yi Liao Qi Xie Za Zhi ; 45(6): 616-621, 2021 Nov 30.
Article em Zh | MEDLINE | ID: mdl-34862773
A software platform for AI-ECG algorithm research is designed and implemented to better serve the research of ECG artificial intelligence classification algorithm and to solve the problem of subjects data information management. Matlab R2019b and MySQL Sever 8.0 are used to design the software platform. The software platform is divided into three modules including data management module, data receiving module and data processing module. The software platform can be used to query and set the subjects information. It has realized the functions of data receiving, signal processing and the display, analysis and storage of ECG data. The software platform is easy to operate and meets the basic needs of scientific research. It is of great significance to the research of AI-ECG algorithm.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Inteligência Artificial Tipo de estudo: Prognostic_studies Limite: Humans Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2021 Tipo de documento: Article