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

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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Bibliographic Details
Main Authors: Scirica, Benjamin M. (Author), Liu, Yun (Contributor), Stultz, Collin M (Contributor), Guttag, John V (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2017-04-03T12:35:34Z.
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