Bogey R A, Perry J, Gitter A J
Rehabilitation Institute of Chicago, Chicago, IL 60611, USA.
IEEE Trans Neural Syst Rehabil Eng. 2005 Sep;13(3):302-10. doi: 10.1109/TNSRE.2005.851768.
Muscle forces move our limbs. These forces must be estimated with indirect techniques, as direct measurements are neither generally possible nor practical. An electromyography (EMG)-to-force processing technique was developed. Ankle joint moments and, by extension, ankle muscle forces were calculated. The ankle moment obtained by inverse dynamics was calculated for ten normal adults during free speed gait. There was close correlation between inverse dynamics ankle moments and moments determined by the EMG-to-force processing approach. Muscle forces were determined. The gait peak Achilles tendon force occurred in late single limb support. Peak force observed (2.9 kN) closely matched values obtained where force transducers were used to obtain in vivo muscle forces (2.6 kN). The EMG-to-force processing model presented here appears to be a practical means to determine in vivo muscle forces.
肌肉力量驱动我们的四肢运动。由于直接测量通常既不可行也不实用，因此必须采用间接技术来估计这些力量。一种肌电图（EMG）到力量的处理技术被开发出来。计算了踝关节力矩，进而计算了踝关节肌肉力量。在自由速度步态期间，对十名正常成年人通过逆动力学获得的踝关节力矩进行了计算。逆动力学踝关节力矩与通过EMG到力量处理方法确定的力矩之间存在密切相关性。确定了肌肉力量。步态中跟腱力峰值出现在单腿支撑后期。观察到的峰值力（2.9 kN）与使用力传感器获得体内肌肉力量时得到的值（2.6 kN）非常匹配。这里提出的EMG到力量处理模型似乎是确定体内肌肉力量的一种实用方法。
