基于二次规划的人体屈伸运动肌肉力预测研究

目的研究人体屈伸运动过程中的肌肉力。方法在"中国力学虚拟人"模型的基础上,确定屈伸运动中参与运动肌肉束的生理横截面积及附着点的起止位置,建立完整的人体胸腰部骨肌系统模型。利用NDI运动捕捉系统获取脊柱形状的变化,利用肌电测量系统采集运动中肌肉的肌电信号规律。采用二次规划方法对不同运动速度和不同负载下的肌肉力进行优化预测。结果通过二次规划法预测出的肌肉力与肌电信号具有较好的一致性。结论该方法可以有效地预测人体屈伸运动中的肌肉力,对深入了解肌肉的运动机理,预防和减少运动损伤发生具有重要意义。

Research on Muscle Force Prediction of Human Bending Based on Quadric Programming Method

Objective To research the muscle force of human bending. Methods Human thoracolumbar musculoskeletal model was constructed after physiological cross-section area of muscle fascicles and their origin and insertion points were determined based on the model of ＇ mechanical visual human of China＇ . The change of spine configuration was captured by NDI motion capture system. The muscle action magnitude was recorded by electromyography measurement system. The muscle fascicles forces were optimized by quadric programming method. Results The results showed that the predicted muscle forces were in good agreement with the electromyography signature. Conclusion This method effectively predicted muscle forces in human bending. It was significant to deeply understand the mechanism of muscle movement and prevent and reduce athletics trauma.