首页|下肢肌力的跌倒风险预测的方法研究

下肢肌力的跌倒风险预测的方法研究

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分析人体行走和跌倒时下肢肌肉的作用,确定对行走稳定性有主要影响的肌肉,为跌倒预测和信号采集位置提供依据.首先建立了一个人体骨骼肌模型,并使用Vicon三维红外动作捕捉分析系统和AMTI三维测力台采集记录模拟行动不便人群的步态、向后摔倒和向前摔倒的实验数据;然后运用逆运动学分析、静态优化算法,通过OpenSim仿真软件计算出步行和跌倒时下肢冗余肌力分配;最后对数据进行分析.研究结果表明:通过仿真模型定量分析了步行和跌倒过程中下肢肌力分布,量化步行以及跌倒过程中下肢各单块肌肉力量的变化规律,得出采集肌电信号较为合适的位置为股外侧肌和比目鱼肌,并为预测跌倒以及康复指导提供了生物力学依据,为进一步揭示髋、膝、踝关节的生物力学特性和人体下肢康复机器人的设计奠定基础.
Study on the Prediction Method of Fall Risk of Lower Limb Muscle Strength
It aimed to analyze the role of lower limb muscles in human walking and falling in the paper,i-dentified the muscles that have a significant impact on walking stability,and provided a basis for fall pre-diction and signal data collection locations.First,a human musculoskeletal model was established,and ex-perimental data on the gait,backward falls,and forward falls of individuals with mobility limitations were recorded using the Vicon three-dimensional infrared motion capture and analysis system and the AMTI 3 D force platform.Subsequently,inverse kinematic analysis and static optimization algorithms,in conjunction with OpenSim simulation software were used to calculate the distribution of redundant muscle forces in the lower limbs during walking and falling.Finally,data analysis was conducted.The research findings indica-ted that through the simulation model,a quantitative analysis of lower limb muscle force distribution dur-ing walking and falling was performed,allowing for the quantification of changes in the strength of individ-ual lower limb muscles during walking and falling.The results suggested that the optimal locations for col-lecting electromyographic signals are the lateral thigh muscles and the gastrocnemius muscle.It provides a biomechanical basis for fall prediction and rehabilitation guidance and lays the foundation for further ex-ploration of the biomechanical characteristics of the hip,knee,and ankle joints,as well as the design of human lower limb rehabilitation robots.

human body modelingskeletal muscle simulationmuscle strength calculationfall risk

牛玉荣、袁妍、张家玺、王勇

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安徽文达信息工程学院 智能制造学院,安徽 合肥 230009

合肥工业大学 机械工程学院,安徽 合肥 230009

人体建模 骨骼肌肉仿真 肌力计算 跌倒风险

安徽省教育厅高校自然科学研究重点项目

KJ2020A0816

2024

蚌埠学院学报
蚌埠学院

蚌埠学院学报

影响因子:0.231
ISSN:2095-297X
年,卷(期):2024.13(2)
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