SYSTEM AND METHOD FOR ESTIMATING OSCILLOMETRIC BLOOD PRESSURE BASED ON DEEP LEARNING

摘要

A method and system for measuring blood pressure using a two-stage adaptive ensemble deep neural network are disclosed. In the blood pressure measurement method using an ensemble deep neural network, the step of extracting feature data from a blood pressure-related oscillometric signal measured by a blood pressure measuring device worn by a test subject, and a deep neural network (DNN) based on the extracted feature data. ) Setting input parameters of a model, setting auscultation blood pressure data measured when measuring the blood pressure of the subject in the blood pressure measurement device as target data, and setting the input parameters, deep neural network model, and target data It may include learning a nonlinear relationship between the blood pressure vibration signal measured by the blood pressure measuring device and the auscultation blood pressure data measured based on a stethoscope.