基于灰靶理论的老年人肌力数据评估方法
The elderly strength data evaluation method based on grey target theory
韩雪晶 1薛胜勃 1杨鹏1
作者信息
- 1. 河北工业大学控制科学与工程学院，天津 300130
- 折叠
摘要
目的：依据肌力数据对没有标准肌力流失模型时的老年人肌力进行量化评估。方法将加权灰靶理论运用到老年人肌力评估中，结合临床经验，对老年人六个关节肌力流失程度划分等级。运用灰度贡献解决了各关节对人体肌力影响的权重问题。结果以一个70岁男性老人的惯用关节肌力数据为待识别序列为例得到其肌力加权靶心度为0．6803，对应到等级划分的五个级别中为第二级，即轻微性流失。以一个老人在60岁、65岁、70岁、75岁、80岁时的关节肌力数据为待识别序列为例，其对应的加权靶心度分别为0．577，0．612，0．689，0．831，0．729。对照评估等级，五次分别处在一级，二级，二级，四级，三级，即肌力能力在前四次都明显衰退，第五次有所好转。结论利用加权灰靶法可以科学合理的对老年人肌力进行量化评估。
Abstract
Objective For the age related sarcopenia,to put forward a grading assessment method without standard sarcopenia mod-el.Methods Combined with clinical experience,the weighted grey target theory had been used in the elderly strength assessment,and divid-ed levels of six joint sarcopenia.Gray contribution was used to solve the weight of each joint impact on human strength.Results The meth-od could effectively solve the problem of elderly sarcopenia under the condition without standard sarcopenia model.Conclusions The paper provides a new method for the elderly strength assessment.
关键词
肌力流失/灰靶理论/分级评估/灰度贡献Key words
Sarcopenia/Grey target theory/Grading assessment/Gray contribution引用本文复制引用
基金项目
国家科技支撑计划课题资助项目(2015BAI06B03)
出版年
2016
NETL
NSTL
维普
万方数据