Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome

Frequency domain measures of heart rate variability (HRV) are associated with adverse events after a myocardial infarction. However, patterns in the traditional frequency domain (measured in Hz, or cycles per second) may capture different cardiac phenomena at different heart rates. An alternative is...

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Detalles Bibliográficos
Autores principales: Liu, Yun, Scirica, Benjamin M., Stultz, Collin M., Guttag, John V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052591/
https://www.ncbi.nlm.nih.gov/pubmed/27708350
http://dx.doi.org/10.1038/srep34540

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052591/
https://www.ncbi.nlm.nih.gov/pubmed/27708350
http://dx.doi.org/10.1038/srep34540

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