Rehabilitation training is essential for patients who have a history of certain illnesses, such as stroke. As a crucial part of rehabilitation training, upper limb training involves such key factors as upper limb motions and forces. This study investigated three upper limb motions (elbow flexion of 135°, Motion 1; shoulder flexion of 90°, Motion 2; and shoulder abduction of 90°, Motion 3) and various forces (muscle Force 0, no force; holding one 1.4 kg dumbbell, muscle Force 1; holding one 2.4 kg dumbbell, muscle Force 2) in combination to evaluate nine motion patterns. These patterns were completed by twelve healthy volunteers. Mechanomyography (MMG) measurements of the biceps brachii (Channel 1), triceps (Channel 2), and deltoid (Channel 3) muscles were collected. These were subsequently divided into signal segments corresponding to each of the motions using a segmentation method based on average energy. After extracting time-domain features and wavelet packet energy features, support vector machine analysis (SVM) was used for the classification of the upper limb motions and forces based on the MMG measurements. Channel 2 and Channel 3 were shown to play an important role in the classification of upper limb motions, and Channel 1 played a role in the classification of the forces. These results demonstrate that collection of MMG measurements from the three muscles is feasible and suggest a foundation for further studies in which rehabilitation training is evaluated based on MMG measurements.

对于有某些疾病（例如中风）病史的患者，康复培训必不可少。作为康复训练的关键部分，上肢训练​​涉及上肢运动和力量等关键因素。这项研究调查了三种上肢运动（肘部弯曲135°，运动1；肩部弯曲90°，运动2；肩部外展90°，运动3）和各种力（肌肉力0，无力；握着1.4公斤哑铃，肌肉力量1；举着一个2.4公斤哑铃，肌肉力量2）组合以评估九种运动模式。这些模式是由十二名健康志愿者完成的。收集肱二头肌（通道1），三头肌（通道2）和三角肌（通道3）的机械X线照相法（MMG）。随后使用基于平均能量的分段方法将它们分为与每个运动相对应的信号段。在提取时域特征和小波包能量特征后，基于MMG测量值，将支持向量机分析（SVM）用于上肢运动和力的分类。通道2和通道3在上肢运动的分类中起着重要的作用，而通道1在力的分类中起着重要的作用。这些结果表明，从三块肌肉收集MMG测量值是可行的，并为进一步研究奠定了基础，在该研究中，基于MMG测量值评估了康复训练。在提取时域特征和小波包能量特征后，基于MMG测量值，将支持向量机分析（SVM）用于上肢运动和力的分类。通道2和通道3在上肢运动的分类中起重要作用，而通道1在力的分类中起重要作用。这些结果表明，从三块肌肉收集MMG测量值是可行的，并为进一步研究奠定了基础，在该研究中，基于MMG测量值评估了康复训练。在提取时域特征和小波包能量特征后，基于MMG测量值，将支持向量机分析（SVM）用于上肢运动和力的分类。通道2和通道3在上肢运动的分类中起着重要的作用，而通道1在力的分类中起着重要的作用。这些结果表明，从三块肌肉收集MMG测量值是可行的，并为进一步研究奠定了基础，在该研究中，基于MMG测量值评估了康复训练。通道1在部队分类中发挥了作用。这些结果表明，从三块肌肉收集MMG测量值是可行的，并为进一步研究奠定了基础，在该研究中，基于MMG测量值评估了康复训练。通道1在部队分类中发挥了作用。这些结果表明，从三块肌肉收集MMG测量值是可行的，并为进一步研究奠定了基础，在该研究中，基于MMG测量值评估了康复训练。