System and Method for Screening Orthostatic Hypotension Using Heart Rate-Based Machine Learning Algorithm and Wearable Measuring Device

摘要

The orthostatic hypotension screening system using a heart rate-based machine learning algorithm according to an embodiment of the present invention is based on the patient's age, blood pressure, EI difference and E:I ratio calculated from the heart rate measured during deep breathing, and the Valsalva method. an input unit for receiving a variable including at least one of the calculated Valsalva ratios; and a determination unit configured to determine whether the patient has orthostatic hypotension according to a machine learning algorithm previously learned based on the variable input through the input unit.