Balanced Risk Assessment System for the Elderly Based on Factor Analysis and EWM
Xin-lin YING, Can-can SU, Ying-ying LU, Qiang Liu, Yanling Xu · DEStech Transactions on Computer Science and Engineering · 2019
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.