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首页> 美国卫生研究院文献>Springer Open Choice >Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane
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Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane

机译：基于肌电图的矢状面上肢肘关节角度定量表示方法

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摘要

This paper presents a quantitative representation method for the upper-limb elbow joint angle using only electromyography (EMG) signals for continuous elbow joint voluntary flexion and extension in the sagittal plane. The dynamics relation between the musculotendon force exerted by the biceps brachii muscle and the elbow joint angle is developed for a modified musculoskeletal model. Based on the dynamics model, a quadratic-like quantitative relationship between EMG signals and the elbow joint angle is built using a Hill-type-based muscular model. Furthermore, a state switching model is designed to stabilize the transition of EMG signals between different muscle contraction motions during the whole movement. To evaluate the efficiency of the method, ten subjects performed continuous experiments during a 4-day period and five of them performed a subsequent consecutive stepping test. The results were calculated in real-time and used as control reference to drive an exoskeleton device bilaterally. The experimental results indicate that the proposed method can provide suitable prediction results with root-mean-square (RMS) errors of below 10° in continuous motion and RMS errors of below 10° in stepping motion with 20° and 30° increments. It is also easier to calibrate and implement.
机译：本文提出了一种仅使用肌电图（EMG）信号连续上肘关节在矢状面内自由弯曲和伸展的上肢肘关节角度的定量表示方法。建立了改良的肌肉骨骼模型，建立了肱二头肌肌肉施加的肌腱张力与肘关节角度之间的动力学关系。基于动力学模型，使用基于希尔类型的肌肉模型建立肌电信号与肘关节角度之间的二次定量关系。此外，设计了一种状态切换模型，以稳定整个运动过程中不同肌肉收缩运动之间的EMG信号过渡。为了评估该方法的效率，十名受试者在4天的时间内进行了连续实验，其中五人进行了随后的连续步进测试。结果是实时计算的，并用作控制参考，以双向驱动外骨骼设备。实验结果表明，所提出的方法可以提供合适的预测结果，其中连续运动的均方根（RMS）误差小于10°，而步进运动的均方根误差均小于10°（以20°和30°递增）。校准和实施也更容易。

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