A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification

BACKGROUND: As proven to reflect the work state of heart and physiological situation objectively, electrocardiogram (ECG) is widely used in the assessment of human health, especially the diagnosis of heart disease. The accuracy and reliability of abnormal ECG (AECG) decision depend to a large extent...

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Detalles Bibliográficos
Autores principales: Li, Guixiang, Tan, Zhongwei, Xu, Weikang, Xu, Fei, Wang, Lei, Chen, Jun, Wu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322832/
https://www.ncbi.nlm.nih.gov/pubmed/34330266
http://dx.doi.org/10.1186/s12911-021-01453-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322832/
https://www.ncbi.nlm.nih.gov/pubmed/34330266
http://dx.doi.org/10.1186/s12911-021-01453-6

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