Intelligent monitoring system and method for health of empty-nest aged people

Abstract

The invention discloses an intelligent monitoring system and method for health of empty-nest aged people. The intelligent monitoring system comprises a multi-mode real-time detection module, a big data analysis module and a 4G network response module, wherein the multi-mode real-time detection module is used for collecting multi-mode health data of the empty-nest aged people and judging an urgent abnormal event; the big data analysis module is used for analyzing the health data, establishing a health state model and pre-warning an abnormal state; and the 4G network response module is used for pushing the urgent abnormal event and the abnormal state in real time and realizing interactive operation with a user operation terminal. Meanwhile, the intelligent monitoring system adopts a dual-warning mechanism, so that accurate and comprehensive intelligent monitoring of the physical state and mental state of the empty-nest aged people can be realized; and by utilizing the operation terminal, a guardian and a medical worker can timely obtain corresponding warning information and selectively check the health state of the empty-nest aged people at any time, and the monitoring manner is changed from a traditional passive accepting form into an automatic query form.

Description

technical field [0001] The invention relates to the field of monitoring systems, in particular to an intelligent monitoring system for the health of empty nesters. Background technique [0002] With the continuous deepening of my country's urbanization process, changes in living styles, and trends such as the decrease in family children, the increase in the elderly population, and the separation of intergenerational living, most elderly people live alone in empty nests, which in turn leads to many problems caused by the empty nest elderly being left alone. tragedy. Therefore, it is very important to monitor the daily home life of empty nesters. [0003] At present, most elderly monitoring systems use camera equipment to collect the movement information of the elderly, and alarm the abnormal behaviors such as falls of the elderly. The form is single and lacks applicability. The symptoms of different emergencies are also different. It may be groaning or showing pain on the fa...

AI Technical Summary

Problems solved by technology

[0003] At present, most elderly monitoring systems use camera equipment to collect the movement information of the elderly, and to alarm the abnormal behavior of the elderly such as falls. The form is single and lacks applicability.

The symptoms of different emergencies are also different. It may be groaning or showing pain on the face. It is not comprehensive to judge the health status of the elderly based on the movement information alone.

At the same time, the traditional analysis methods used by most systems are not applicable to the various data types collected, and the traditional methods have not developed the potential value of the data

Therefore, enhancing the universality of the monitoring system and improving the accuracy of the system is a problem that needs to be solved, and applying big data to the monitoring field is also a new challenge

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