Torque Estimation of Knee Flexion and Extension Movements From a Mechanomyogram of the Femoral Muscle
Torque Estimation of Knee Flexion and Extension Movements From a Mechanomyogram of the Femoral Muscle
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DOI：
10.1109/tnsre.2022.3169225
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发表时间：
2022-01-01
影响因子：
4.9
通讯作者：
Tsuji, Toshiaki
中科院分区：
文献类型：
--
作者：
Hondo, Nobuhiro;Tsuji, Toshiaki
机械肌图是肌肉收缩时来自肌肉表面的机械信号的可视化。机械肌肉图(MMG)测量的设置比表面肌电(SEMG)测量的设置更简单，并且受出汗的影响较小。然而，基于机械肌图的扭矩估计包含显著的噪声，这是一个重要的问题。因此，我们提出了一种基于MMG信号的回归分析方法来估计膝关节在自由运动过程中的扭矩。该方法与传统方法不同，因为它整合了四个位置的MMG传感器反应：前、后和主要操作肌肉上方的内侧/外侧。该方法的重点是加速度响应特性，它随MMG传感器位置的不同而略有变化。对经过低通滤波处理的MMG信号的均方根(RMS)进行支持向量回归。增加前导肌肉和拮抗肌肉的MMG传感器数量的双通道估计改进了传统方法，而内侧和侧向传感器的四通道估计进一步提高了性能。这些结果表明，该方法的估计性能与表面肌电信号的估计性能没有显著差异。
A mechanomyogram is a visualization of the mechanical signal from the surface of a muscle when the muscle is contracted. The setup of the mechanomyography (MMG) measurement is simpler than the setup for surface electromyography (sEMG) measurement and is less affected by sweating. However, torque estimation based on a mechanomyogram involves significant noise, which is an important issue. Therefore, we propose a regression analysis method to estimate the torque of the knee joint during voluntary movement based on the MMG signal. The proposed method differs from conventional methods because it integrates the MMG sensor responses at four locations: anterior, posterior, and medial/lateral just above the main operating muscle. This method focuses on the acceleration response characteristics, which change slightly depending on the location of the MMG sensor. Support vector regression was performed on the root mean square (RMS) of the MMG signals, which were processed by a low-pass filter. Two-channel estimation with an increased number of MMG sensors for the leading and antagonist muscles improved the conventional method, and four-channel estimation with medial and lateral sensors further improved the performance. These results show that the estimation performance of the proposed method does not significantly differ from that of the surface electromyogram.