Elder fall-down monitoring device and fall-down risk assessment method

Abstract

The invention discloses an elder fall-down monitoring device, comprising an inertia sensing module, a plantar pressure sensing module, an information reception communication module and a mobile processing terminal. The inertia sensing module is responsible for collecting gait motion information in the human body walking process. The plantar pressure sensing module is responsible for collecting gait pressure information in the human body walking process. The information reception communication module is connected with the inertia sensing module and the plantar pressure sensing module and is responsible for receiving data information of the inertia sensing module and the plantar pressure sensing module. The information reception communication module is in communication connection with the mobile processing terminal and sends the data information to the mobile processing terminal. The mobile processing terminal determines whether the edger falls down or not. The invention also provides an elder fall-down risk assessment method. The gait and the gait information are collected by combining the inertia sensing module and the plantar pressure sensing module, and accuracy of the fall-down monitoring and the risk assessment is improved.

Description

technical field [0001] The invention relates to the field of mobile health, in particular to an elderly fall monitoring device and a fall risk assessment method. Background technique [0002] At present, the aging process of China's population is accelerating, which brings a large number of aging population. With the progress of society, the elderly often choose to live separately from their children, and the care of the elderly is becoming more and more important. However, the primary cause of accidental injuries in the elderly is falls. Therefore, how to monitor falls and evaluate and intervene on the risk of falls is a key issue. Very important practical needs. [0003] There are three main types of existing monitoring methods for falls: (1) Video monitoring: Video monitoring mainly uses computer vision technology to analyze the human behavior in the video. This method has the characteristics of intuition and high accuracy, but its function Restricted by the position of...

AI Technical Summary

Problems solved by technology

[0003] There are three main types of existing monitoring methods for falls: (1) Video monitoring: Video monitoring mainly uses computer vision technology to analyze the human behavior in the video. This method has the characteristics of intuition and high accuracy, but its function Restricted by the position of the camera and also involving privacy issues: (2) Audio monitoring: Audio monitoring mainly uses some sound capture devices in the elderly's activities to detect falls. , but at present the accuracy rate is not high and the cost is high; (3) wearable sensor: this solution has low cost and low accuracy rate, and with the miniaturization of equipment, the impact on the comfort of the human body is getting smaller and smaller, however Due to the complexity of human body movements, in order to improve accuracy, many solutions are often implemented by wearing multiple sensors on different parts, which affects the comfort to a certain extent

[0004] At present, most of the monitoring of falls only focuses on the detection and alarm of falls, while ignoring the risk assessment of falls, which will cause delays in the prediction of falls for the elderly and the adoption of necessary protective measures

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