Automatic Prediction of Vascular Events by Heart Rate Variability Analysis in Hypertensive Patients

This paper proposes an automatic classifier for risk assessment of developing vascular events in hypertensive patients. The proposed classifier separates lower-risk patients from higher-risk ones, using linear and nonlinear Heart Rate Variability (HRV) measures. Higher risk patients were those having a clinical vascular event (e.g. myocardial infarction, syncope, stroke or transient ischemic attack) within one year after the Holter recording.

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