Old people balance ability risk assessment method

Abstract

The invention discloses an old people balance ability risk assessment method, which comprises the following steps: data acquisition: acquiring basic information data of multiple old people and original data calibrated in a free walking state; data analysis, including basic data analysis, feature analysis and continuous data grouping of the elderly, and selecting 10 features; Kmeans clustering: determining the balance capacity according to the 10 features selected in above step, and dividing the balance capacity into a class 1 and a class 2, wherein the class 1 is a class with poor balance force, and the class 2 is a class with strong balance force; data preprocessing: including analysis and extraction of motion gravity center related features, screening of gait balance features and motionbalance features, and screening of body balance features; obtaining 25 characteristic values according to the above step; checking the 25 characteristic values in the above step through a random forest model; scoring by using an entropy weight method; distinguishing intervals by the decision tree; comparing the clustering result with the interval to obtain a model accuracy rate; and providing anti-falling suggestions and solution schemes.

Description

technical field [0001] The invention belongs to the technical field of risk assessment methods, and in particular relates to a risk assessment method for the balance ability of the elderly. Background technique [0002] In the document "Application of Balance and Gait Analysis Tests in Fall Risk Assessment of the Elderly", 72 subjects were mainly studied from two aspects: 1. Balance function test; 2. Gait analysis test. After passing the two tests, the data is processed by SPSS13.0 statistical software. The results of the measurement data conforming to the normal distribution are expressed as mean ± standard deviation. The statistical test uses two independent sample t tests, and P<0.05 indicates that the difference is significant significance. [0003] Problems in this risk assessment method: 1. Directly and simply apply statistical rules to some physiological attributes of individuals (such as height, age, weight, etc.) to conclude that there is no effective difference...

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Problems solved by technology

[0003] Problems in this risk assessment method: 1. Directly and simply apply statistical rules to some physiological attributes of individuals (such as height, age, weight, etc.) to conclude that there is no effective difference between individuals, that is, discard these data; 2. . The estimation of self-balance ability in the balance ability test is too procrastinated, and has no great impact on the overall result; 3. In the gait analysis test, the analyzed gaits are too few, and only the total distance, average pace, left The difference between the step length and the right step length may ignore some important parameters in the gait, resulting in significant deviations in the experimental results

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