基于肌电和优化方法的关节肌力分布模型  

EMG-Driven Optimized Muscle Force Distribution Model

作　　者：李翰君[1] 刘卉[1] 张新[1] 于冰[2] 

机构地区：[1]北京体育大学,北京100084 [2]北卡罗来纳大学

出　　处：《中国运动医学杂志》2014年第10期981-987,共7页Chinese Journal of Sports Medicine

基　　金：国家自然科学基金资助项目(30870600);国家体育总局重点研究领域课题(2012B012);中央高校基本科研业务费专项资金

摘　　要：目的:建立基于肌电信号的关节肌力分布模型来得到运动过程中膝关节的肌肉力。方法:测试9名运动员的急停起跳和变向动作,得到了人体下肢运动学、动力学数据以及膝关节周围7块肌肉的肌电。采用急停起跳动作得到肌肉最佳长度,代入变向动作中计算膝关节力矩。结果:在急停起跳动作中模拟的肌肉力矩与逆动力学得到的关节净力矩相似度很高。采用急停起跳得到肌肉最佳长度预测变向动作的肌肉力矩,精度仅轻微下降。结论:本建模方法可以估算活体运动时的肌肉力。Objective To develop an electromyography （EMG）-driven knee model for estimation of dynamic knee muscle force. Methods Three-dimensional kinematic and kinetic data of the lower extremity and electromyographic data of ten muscles across the knee joint were collected from 9 athletes during performing stop-jumping and cutting tasks. The knee flexion-extension moment was derived from optimal muscle length estimated from stop-jump task. Results There was a good semblance between optimized muscle moment and knee resultant flexion-extension moment during the stop-jumping task. When the optimal muscle length were used to predict muscle generated knee flexion-extension moment in the running task,the accuracy of the model slightly decreased. Conclusion The electromyography- driven knee model could estimate muscle forces in vivo during movement.

关 键 词：肌电驱动模型 肌肉力 骨骼肌肉建模 

分 类 号：G804.2[文化科学—运动人体科学]