An Electrocardiographic System With Anthropometrics via Machine Learning to Screen Left Ventricular Hypertrophy among Young Adults

The prevalence of physiological and pathological left ventricular hypertrophy (LVH) among young adults is about 5%. A use of electrocardiographic (ECG) voltage criteria and machine learning for the ECG parameters to identify the presence of LVH is estimated only 20-30% in the general population. The...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224269/
https://www.ncbi.nlm.nih.gov/pubmed/32419990
http://dx.doi.org/10.1109/JTEHM.2020.2990073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7224269/
https://www.ncbi.nlm.nih.gov/pubmed/32419990
http://dx.doi.org/10.1109/JTEHM.2020.2990073

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