학술논문

Exploration of Blood Pressure Monitoring Trajectory Analysis Algorithm System Based on Wearable Device
Document Type
Conference
Source
2022 2nd International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA) ICEITSA Electronic Information Technology and Smart Agriculture (ICEITSA), 2022 2nd International Conference on. :318-323 Dec, 2022
Subject
Computing and Processing
Hypertension
Smart agriculture
Wearable computers
Time series analysis
Prediction algorithms
Blood pressure
Trajectory
Wearable devices
Blood pressure monitoring trajectory analysis algorithm
System
Language
Abstract
It takes a certain pressure for blood to travel from the heart to all parts of the body, and this pressure is blood pressure. Blood pressure is one of the most important vital signs of human beings, which can reflect the function of multiple systems or the health of metabolism. Monitoring blood pressure can predict and judge common cardiovascular diseases, and provide important reference for corresponding treatment. In this paper, the algorithm system of blood pressure monitoring trajectory analysis is studied based on wearable devices. The research shows that the blood pressure monitoring system tests the comparison of measured diastolic blood pressure values and systolic blood pressure values in different periods. It is found that the diastolic blood pressure and systolic blood pressure values are generally high in the morning, and they will increase at night when they are properly reduced at noon. As far as the measured results are concerned, it has been possible to make a guiding judgment according to the changing trend of blood pressure values of this system. In the future, users can use wearable devices to remotely control devices and improve the quality of life of modern people. However, in view of the current development, wearable device technology will take meeting the needs of individuals as the main development direction, so that wearable devices will develop in a personalized direction.