Tumbling risk assessment, monitoring system and assessment method on basis of multi-motion sensors

Abstract

The invention provides a tumbling risk assessment, a monitoring system and an assessment method on the basis of three nine-shaft motion sensors. According to the tumbling risk assessment, the monitoring system and the assessment method, the tumbling state detecting, the tumbling risk detecting and tumbling protecting device control are achieved. The monitoring system comprises an information collecting module, a wireless communication module and a date analyzing module. The three nine-shaft motion sensors are mainly used, two of the nine-shaft motion sensors are placed in two shoes, and another is placed on the wrest; original data of the accelerated speed, the angular speed and the angle are obtained through the three sensors, a Bluetooth module is used for transmitting a data signal, and the signal is transmitted to a data analyzing terminal. The tumbling state is detected by analysis on various data signals through the motion sensors, and the tumbling risk is assessed and fed back to a tester by the combination with the standard of a Tinetti assessing table. The invention further discloses a gait assessment method, according to the method, through various signal types such as the accelerated speed, the angular speed and the angle, modeling is conducted on human bodies, gait characteristics are extracted, and assessment is conducted with Tinetti.

Description

technical field [0001] The invention belongs to the technical fields of medical health, signal analysis and calculation, and machine learning, and in particular relates to a multi-motion sensor-based fall risk assessment and monitoring system and assessment method. Background technique [0002] In today's society, with the continuous development of the economy, the problem of population aging is increasing day by day, and the health and safety of the elderly has become the focus of people's increasing attention. Among them, in the "China Injury Prevention Report" compiled by the Ministry of Health in 2007, falls are the primary cause of accidental injuries for the elderly. After a fall, on the one hand, it is the human injury caused by the fall itself, and on the other hand, it is the secondary injury caused by not taking timely protective measures and receiving timely rescue after the fall. This seriously affects the normal living ability and mental state of the elderly. ...

AI Technical Summary

Problems solved by technology

The patent with the publication number CN202086479 describes a human body analysis method, which collects the characteristics of the human body through the plantar pressure sensor, but the system is complicated, not portable, cannot reflect three-dimensional parameters, and has limited functions; the publication number CN20120209092 describes a human body The gait evaluation system and method mainly analyze the gait of the human body by collecting three-dimensional acceleration signals, but only the acceleration signals cannot calculate the overall state of the human body, and the accuracy is limited

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