IEEE Trans Neural Syst Rehabil Eng. 2014 May;22(3):491-500. doi: 10.1109/TNSRE.2013.2273313. Epub 2013 Jul 31.
Among other diminished motor capabilities, survivors of a stroke often exhibit joint synergies. These synergies are stereotypically characterized by involuntary joint co-activation. With respect to the upper limbs, such synergies diminish coordination in reaching, pointing, and other daily tasks. The primary goal of this research is to model synergy and quantify it in a comprehensive and mathematically tractable form. A motion capture system was used to measure joint rotations from stroke survivors and control subjects. These data showed that joint synergies are nonunique and asymmetric. The model also provided a way to calculate joint combinations that result in maximum and minimum synergy. Beyond providing a more complete view of synergies, this approach could facilitate new ways to evaluate and treat stroke survivors. In particular, this approach may have applications in diagnostic and treatment algorithms for use in rehabilitation robots.
中风幸存者通常会出现关节协同作用，表现为运动能力下降等其他情况。这些协同作用的特点是关节无意识的共同激活。就上肢而言，这些协同作用会降低在伸手、指向和其他日常任务中的协调能力。本研究的主要目标是对协同作用进行建模，并以全面且可数学处理的形式对其进行量化。运动捕捉系统用于测量中风幸存者和对照组的关节旋转。这些数据表明，关节协同作用是非唯一且不对称的。该模型还提供了一种计算导致最大和最小协同作用的关节组合的方法。这种方法不仅提供了对协同作用的更全面的了解，还有可能为评估和治疗中风幸存者开辟新途径。特别是，这种方法可能在康复机器人的诊断和治疗算法中有应用。
