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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Nature Publishing Group
2017
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| Online Access: | http://hdl.handle.net/1721.1/107813 https://orcid.org/0000-0003-2257-0904 https://orcid.org/0000-0002-3415-242X https://orcid.org/0000-0003-0992-0906 |