Neural networks applied to 12-lead electrocardiograms predict body mass index, visceral adiposity and concurrent cardiometabolic ill-health

BACKGROUND: Obesity is associated with electrophysiological remodeling, which manifests as detectable changes on the surface electrocardiogram (ECG). OBJECTIVE: To develop neural networks (NN) to predict body mass index (BMI) from ECGs and test the hypothesis that discrepancies between NN-predicted...

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Detalles Bibliográficos
Autores principales: Li, Xinyang, Patel, Kiran Haresh Kumar, Sun, Lin, Peters, Nicholas S., Ng, Fu Siong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669785/
https://www.ncbi.nlm.nih.gov/pubmed/34957430
http://dx.doi.org/10.1016/j.cvdhj.2021.10.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669785/
https://www.ncbi.nlm.nih.gov/pubmed/34957430
http://dx.doi.org/10.1016/j.cvdhj.2021.10.003

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