Collection system of Internet of things for activity-of-daily-living information of human body

Abstract

The invention provides a collection system of an Internet of things for the activity-of-daily-living information of a human body, which relates to a medical detecting technology. A detecting node for the activity-of-daily-living (ADL) information of a human body, which is based on an ZIGBEE wireless sensor network, a routing node for the information processing of the wireless sensor network, a monitoring server for the ADL information of the human body and a third-party terminal are arranged; and the collected ADL information of the human body is processed by the detecting node and is also transmitted to the routing node, the jam of the detecting node is treated, the information is also forwarded to the monitoring server for the ADL information of the human body, the received information is stored, classified and displayed by the monitoring server for the ADL information of the human body, and the monitoring server for the ADL information of the human body is also in information interaction with the third-party terminal by an INTERNET. The collection and the real-time monitoring of the activity-of-daily-living information of a human body and the quick reflection to an accident are realized, and the quantitative analysis of a doctor to the activity of the human body and the change trend of a biological signal are convenient.

Description

technical field [0001] The invention relates to a medical detection technology, in particular to an Internet of Things collection system for human daily behavior information. Background technique [0002] After the age of 65, physical function will decline with age. The muscle strength of the 80-year-old is only about 80% of that of the 20-30-year-old youth. The muscle strength of the elderly will bring great inconvenience to their life, manifested as a decline in daily life ability, and will increase the risk of falling. , if the treatment is not timely, there will be more serious consequences. It is estimated that the elderly population over the age of 60 will increase from 240 million to 240 million in 2020, accounting for 16.6% of the total population. From 2020 to 2050, the elderly population over the age of 60 will rise from 240 million to 400 million, accounting for about 26% of the total population. Problems such as insufficient medical resources are prominent. Ta...

AI Technical Summary

Problems solved by technology

[0004] Video-based human body monitoring and detection technology is to install cameras in a certain area, and monitor the state of human body movement through image processing of human body activity videos. This method is affected by the environment. The influence of light is greater

[0005]The detection technology of human body motion state based on wearable sensor refers to wearing micro-class wearable devices, such as clothes, hats, jewelry, etc., to try to detect human body activities, This method is limited to a certain range of independent individual detection

Images