IEEE Trans Biomed Eng. 2011 Aug;58(8). doi: 10.1109/TBME.2011.2118756. Epub 2011 Feb 22.
The study developed a novel multi-scale model for simulating the surface electromyogram (EMG) of an antagonistic pair of muscles during pathological tremor. By combining and expanding mathematical descriptions from motor units to limb kinematics, the model constitutes the first attempt to simulate the surface EMG and the individual motor unit activity under the influence of descending voluntary command, oscillatory noise in the descending signal, and afferent feedback when controlling a freely moving limb to achieve a predefined angular trajectory. The oscillatory noise was adjusted to simulate various types of pathological tremor. The simulations replicated previously reported experimental results for the power spectral density of the surface EMG, the angular velocity of the limb, and single motor unit activity. The model provides a powerful tool for extracting information about how the surface EMG can be used to describe tremor in various conditions, including different tremor frequencies and intensities, that cannot be achieved solely with experimental approaches.
该研究开发了一种新的多尺度模型，用于模拟病理震颤期间拮抗肌对的表面肌电图（EMG）。通过将来自运动单位的数学描述与肢体运动学相结合和扩展，该模型首次尝试模拟在自愿命令、下行信号中的振荡噪声以及控制自由运动肢体以实现预定义角轨迹时的传入反馈下的表面 EMG 和单个运动单位活动。调整振荡噪声以模拟各种类型的病理震颤。该模拟复制了先前关于表面 EMG 的功率谱密度、肢体角速度和单个运动单位活动的实验结果报告。该模型为提取有关表面 EMG 如何在各种条件下（包括仅通过实验方法无法实现的不同震颤频率和强度）用于描述震颤的信息提供了强大的工具。
