Forearm muscle activity estimation based on anatomical structure of muscles
Forearm muscle activity estimation based on anatomical structure of muscles
复制标题
DOI：
10.1002/ar.24910
复制
发表时间：
2022-04-06
影响因子：
2
通讯作者：
Shimoda, Shingo
中科院分区：
文献类型：
--
作者：
Okajima, Shotaro;Costa-Garcia, Alvaro;Shimoda, Shingo
使用表面肌电图（sEMG）估计肌肉活动是一种重要的非侵入性方法，可以使人们更深入地了解人类的运动控制策略。使用多个有源电极进行测量不仅可以估计表面肌肉活动，还可以估计动态运动中的深层肌肉活动。在本文中，我们提出了一种基于肌肉结构的解剖知识来估计动态运动的肌肉活动的方法。为了估计肌肉活动，在肌肉模型中设置大量信号源，并根据肌肉的解剖结构预先定义信号源之间的连接。首先通过最小化具有连续性成本的 Kullback-Leibler 散度来估计信号源活动。然后，根据信号源活动计算肌肉活动。在实验中，五名健康参与者进行了五种类型的运动，并使用 20 通道有源电极测量前臂 sEMG。这些运动的估计结果在四个维度上可视化为肌肉随时间的三维位置。结果表明，估计准确，测量的 sEMG 和肌肉活动的连续性的再现率为 95%。此外，结果表明，在估计动态和异常运动的肌肉活动方面，所提出的方法优于传统方法。
Estimation of muscle activity using surface electromyography (sEMG) is an important non-invasive method that can lead to a deeper understanding of motor-control strategies in humans. Measurement using multiple active electrodes is necessary to estimate not only surface muscle activity but also deep muscle activity in dynamic motion. In this paper, we propose a method for estimating muscle activity of dynamic motions based on anatomical knowledge of muscle structures. To estimate muscle activity, a large number of signal sources are set in the muscle model, and connections between the signal sources are defined a priori based on the anatomical structure of the muscles. The signal source activities are first estimated by minimizing the Kullback-Leibler divergence with a continuity cost. Then, the muscle activity is computed from the signal source activity. In the experiments, five healthy participants performed five types of motion and the forearm sEMG was measured with 20-channel active electrodes. The estimation results for these motions were visualized in four dimensions as the three-dimensional position of the muscle over time. The results showed that the estimation was accurate, with a reproduction rate of 95% for the measured sEMG and continuity of the muscle activity. In addition, the results suggest the advantage of the proposed method over the conventional approaches in terms of estimating the muscle activity for both dynamic and abnormal motions.