Method for establishing blood pressure model

Abstract

The invention discloses a method for establishing a blood pressure model. The method comprises the following steps: acquiring a plurality of first physiological data of a plurality of universal users and a plurality of first blood pressure data of the universal users, and executing a deep learning algorithm according to the first physiological data and the first blood pressure data to establish a universal blood pressure model, wherein the universal blood pressure model has a parameter set and a loss function; obtaining second physiological data of a specified user and second blood pressure data of the specified user; generating estimated blood pressure data according to the second physiological data and the parameter set; calculating an error according to the estimated blood pressure data, the second blood pressure data and the loss function; and adjusting the parameter set according to the error to establish a specified blood pressure model.

Description

technical field [0001] The present invention relates to blood pressure measurement, especially a blood pressure measurement system and method based on electrocardiography (ECG), photoplethysmography (PPG) and pulse transit time (Pulse Transit Time, PTT) . Background technique [0002] Cardiovascular related diseases have been shown to be highly correlated with heart rate and blood pressure. Uncontrolled high blood pressure can lead to heart attack, stroke, heart failure or other serious life threats. Therefore, accurate measurement of blood pressure is necessary to prevent accidents. According to the standards recognized by the American National Standards Institute (ANSI), the Association for the Advancement of Medical Instrumentation (AAMI) and the International Organization for Standardization (ISO) in 2018, blood pressure measurement An acceptable error is 10 millimeters of mercury (mm Hg) or less, and the estimated probability of this error is at least 85%. [0003] ...

AI Technical Summary

Problems solved by technology

However, blood pressure values ​​measured by cuff-free blood pressure monitors are less accurate than cuff-based blood pressure monitors

In addition, existing cuffless blood pressure monitors need to collect sensing data from users in various situations (such as walking, sitting still, and exercising) in order to provide relatively accurate blood pressure measurements

For users, it takes extra physical effort and time to provide sensing data in different situations

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