Method for estimating continuous blood pressure using recurrent neural network and apparatus thereof

摘要

In an embodiment of the present invention, feature information for receiving a user's biosignal measured in at least one or more methods in a past period, analyzing the received biosignal, and extracting feature information for each time point at which the biosignal was measured Extraction step, a parameter calculation step of normalizing the extracted feature information and calculating a blood pressure related parameter for the past period based on the normalized feature information, and applying the calculated blood pressure related parameter to a circulatory neural network (RNN) in time series A blood pressure estimation control step of controlling to output the normalized estimated blood pressure of the user at the current time by inputting as, and denormalization of denormalizing the normalized estimated blood pressure based on the estimated values of the blood pressure average and blood pressure standard deviation at the current time It provides a method for estimating section blood pressure using a circulatory neural network including a processing step.