Wearable human abnormity monitoring and alarming system and working method thereof

Abstract

The invention provides a wearable human abnormity monitoring and alarming system and a working method thereof; the wearable human abnormity monitoring and alarming system comprises a wearable device which is used for acquiring real-time activities and heart rate conditions of a wearer and for judging whether alarming is implemented or not, wherein the wearable device is provided with a three-axis acceleration sensor, a heart rate sensor, a clock module, a vibrator, a help button, a storage battery module, a first wireless signal receiving and transmitting module and a control module; the wearable device is also provided with an application gateway which is used for storing data acquired by the wearable device and for achieving information interaction with related mobile terminals, wherein the application gateway is provided with a second wireless signal receiving and transmitting module, a data storage module, a processing and control module and a mobile or wired communication module. The wearable device can be used for judging whether the problem of sudden consciousness loss with the symptom of abnormal heart rate occurs or not through heart rate when the wearer is continuously immovable, and can be used for transmitting alarming and help information to related mobile terminal users through the application gateway, so as to rescue timely.

Description

Technical field [0001] The invention relates to the real-time monitoring and warning field of abnormal physical signs. Specifically, it relates to a system and method for monitoring abnormal conditions of human body signs through a wearable device and promptly alerting for help. Background technique [0002] In recent years, with the increase of people's health awareness, the market demand for portable vital sign testing equipment has exploded, such as blood pressure monitors, blood glucose meters, and oximeters. At the same time, the aging rate of Chinese society is very fast. According to public data, there are about 200 million people over the age of 60 in the country. By 2020, this number will climb to nearly 250 million. In addition to specialized monitoring in medical-related institutions, a system that monitors the real-time characteristics of people at risk and promptly warns for help can greatly improve the efficiency of medical resource utilization and save the lives o...

AI Technical Summary

Problems solved by technology

[0006] In the real environment, there are many factors that cause users to faint suddenly. Even if they fall after being dizzy, it is difficult to identify it through wrist motion detection (acceleration, inclination and vertical position changes), resulting in serious false positives.

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