A Study of Fall Risk Assessment in the Elderly

DOI

10.2991/aer.k.201203.033How to use a DOI?

Keywords

Elderly, Fall Risk Probability, Multiplicative coefficient method, Kendal Correlation Analysis, Multiple Linear Regression

Abstract

Falls in the elderly can lead to many complications, which can significantly reduce the quality of life. Therefore, the research on the fall risk of the elderly has attracted extensive attention. However, little research has been done to assess the fall risk of different individuals with different symptoms combined with joint data. Based on the Kinect motion Sensor, the real-time Shift Angle of gravity center is calculated and compared with the Los Threshold, and the grade model of fall risk is obtained by defining the fall risk probability. On this basis, the paper also screened the basic information of the elderly and more than 10 common diseases, and found five factors that have a greater impact on the fall risk probability. Combining the probability grade of individual fall risk with the five factors after screening, the balance ability and fall risk of the elderly can be evaluated objectively. It also provides objective data analysis and effective fall prevention reference for the elderly.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sun Guoqing
AU  - Du Kun
AU  - Chen Hao
AU  - Xie Jingwei
PY  - 2020
DA  - 2020/12/03
TI  - A Study of Fall Risk Assessment in the Elderly
BT  - Proceedings of the 2020 9th International Conference on Applied Science, Engineering and Technology (ICASET 2020)
PB  - Atlantis Press
SP  - 176
EP  - 183
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201203.033
DO  - 10.2991/aer.k.201203.033
ID  - Guoqing2020
ER  -