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Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
Sex and age have long been known to affect the ECG. Several biologic variables and anatomic factors may contribute to sex and age-related differences on the ECG. We hypothesized that a convolutional neural network (CNN) could be trained through a process called deep learning to predict a person’s ag...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661045/ https://www.ncbi.nlm.nih.gov/pubmed/31450977 http://dx.doi.org/10.1161/CIRCEP.119.007284 |