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Balanced Risk Assessment System for the Elderly Based on Factor Analysis and EWM

This paper discusses how to evaluate the balance ability of the elderly and puts forward specific suggestions to prevent falls. Through literature review, we have established the first level of indicators including age, posture, walking posture, medical history [1][2] . Then different diseases and different characteristics of the body during walking were taken as secondary indicators. Factor analysis and stepwise regression were used to screen index and extract information. Finally, entropy weight method is used to quantify the index. It was found that the three secondary indicators of walking posture in the system of men and women all had an impact of 1/3. In men, lead leg and disease have basically the same effect on the elderly's falls, while in women, age and disease have basically the same effect. Introduction Falls are common in the elderly population. Falls may cause many complications in elderly people, because they generally have poor rehabilitation ability, so the side effects can be so debilitating as to accelerate body failure. In addition, the fear from falls may impair the ability to move and constrict the scope of mobility, therefore worsening the quality of life significantly. Consequently, it is of great realistic importance to make a balance ability assessment for elderly people with a view to assisting them in mobility status, correcting postures and preventing accidental falls. Research Object According to the spatial 3d coordinate points of 42 points in the whole body of 80 elderly people with a gait cycle given by 2018APMCM, their age, BMI, lead leg and medical history data were also included. Research Methods Disease Factors Based on Stepwise Regression First, we identify disease types that are important for balance. Through stepwise regression, diseases that have a great impact on male and female falls are obtained, and the corresponding values of disease indicators are obtained according to linear regression. The greater the correlation between a disease and balance, the greater the impact on the number of falls, and the greater the prevalence, the greater the impact. Therefore, we use the following formula to qualitatively compare the influence of different elderly patients' disease conditions on their balance ability: