Wearable fall early warning system and application method thereof

Abstract

The invention discloses a wearable fall early warning system and an application method thereof. The system comprises an embedded information acquisition device, a wristwatch display and alarm device and a monitoring terminal, wherein the embedded information acquisition device comprises a first embedded information acquisition device and a second embedded information acquisition device; and each embedded information acquisition device comprises a power supply, a pressure sensor, an acceleration transducer, a response oscillator, a data processing unit and a Zigbee communication node. According to the invention, different signals of a left foot and a right foot are comprehensively analyzed, the influences exerted by special motion such as leg crossing, leaning and the like of people in daily life on fall determination are eliminated, the problem that differences of life styles and walking habits of the people greatly affect the fall determination accuracy is solved, and the accuracy and the reliability of the fall determination are improved.

Description

technical field [0001] The invention relates to a human body daily behavior information collection system, in particular to a wearable fall warning system and a use method thereof. Background technique [0002] In the prior art, due to the decline of the body function of the elderly with age and the impact of chronic diseases, falls have become the main injury problem of the elderly in the world. According to the survey, more than half of the cases of medical treatment due to injuries among the elderly were falls; among the hospitalized cases due to injuries, more than 80% were falls. Moreover, the occurrence of falls can cause serious injuries such as fractures and brain injuries, reduce the mobility of the injured, and lead to serious psychological, physical, or social dysfunction. It is the main cause of disability, death, and economic burden in the elderly population. In addition, unintentional injuries have been recognized by the international academic community as an ...

AI Technical Summary

Problems solved by technology

However, this method has high environmental requirements, poor adaptability and versatility, and requires complex calculations, so it is not suitable for daily use

[0007] Chinese invention patent CN103903390A discloses a positionable wearable fall monitoring system, which uses Zigbee to complete long-distance signal transmission, but the Zigbee transmission distance refers to the transmission distance in the open, without barriers, and without interference. In modern life There are barriers of buildings and trees and interference of wireless signals, so long-distance signal transmission cannot be realized, so this technical solution is not suitable for promotion and use in daily life

[0008] In addition, vibration sensors are often used for human body movement counting, which cannot accurately collect signals, so the accuracy of step counting is low

Images