Gait analysis and fall assessment system

Abstract

The invention discloses a human body gait assessment system, which comprises a nine-axis inertial sensor, a signal transmission unit and an assessment unit, wherein the nine-axis inertial sensor is used for measuring linear acceleration data, angular velocity data and object inclination angle data of a three-dimensional space; the plurality of data is acquired by the inertial sensor by conductingmeasurement at a certain time interval; the signal transmission unit is used for transmitting the plurality of data to the assessment unit; and the assessment unit is in charge of judging pace statesof a human body by calculating accumulated values of data in a left-right direction, so as to measure fall risks, and the assessment unit, via a mode of searching the maximum value in the various processed data, can predict the fall direction; therefore, the system is accurate in assessment mode and simple in calculation; and the system is especially applicable to patients with cerebral palsy.

Description

technical field [0001] The invention relates to the field of human motion detection, in particular to a gait analysis and fall evaluation system. Background technique [0002] The prior art provides a variety of systems and methods for predicting the risk of falls for the elderly. The method used in the Chinese patent application document with application number 201510740004.8 is: detecting and analyzing the pressure information of the soles of the human body, obtaining the gait data of the human body through calculation, and converting the gait The data is compared with the gait data of normal people, so as to obtain the information of fall gait balance and fall risk assessment. The system structure is as follows: figure 1 shown. The specific analysis method is: according to the plantar pressure data and gait data, the trajectory curve of the center of gravity of the human body is compared with the trajectory curve of the center of gravity of the normal person. big. The ...

AI Technical Summary

Problems solved by technology

[0003] 1. Lack of prediction and assessment of fall direction information;

[0004] 2. Fall risk assessment can only be done qualitatively, and the assessment method is single

[0006] 1. Only functional assessment, lack of prediction and assessment of fall direction information;

[0007] 2. It only provides scores for functional test results, and lacks objective gait data and evaluation parameters, such as acceleration data during human walking, left-right consistency, etc.

[0008] 3. The assessment requires specific multidisciplinary professionals and a specific site, which is greatly affected by subjectivity, and the accuracy of fall risk assessment is insufficient

Spasms of the lower limbs will cause changes in the function of the motor system, resulting in abnormal gait, prone to falls, and seriously affecting walking ability

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