Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model

There is an increasing demand for automatic classification of standard 12-lead electrocardiogram signals in the medical field. Considering that different channels and temporal segments of a feature map extracted from the 12-lead electrocardiogram record contribute differently to cardiac arrhythmia d...

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Detalles Bibliográficos
Autores principales: Ye, Xiaohong, Huang, Yuanqi, Lu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049587/
https://www.ncbi.nlm.nih.gov/pubmed/35492618
http://dx.doi.org/10.3389/fphys.2022.840011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049587/
https://www.ncbi.nlm.nih.gov/pubmed/35492618
http://dx.doi.org/10.3389/fphys.2022.840011

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