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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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| Pubblicato in: | Sci Rep |
|---|---|
| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5052591/ https://ncbi.nlm.nih.gov/pubmed/27708350 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep34540 |
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