文献类型：期刊文献

英文题名：A preliminary study of classification of upper limb motions and forces based on mechanomyography

作者：Zhang, Yue[1];Xia, Chunming[1]

机构：[1]East China Univ Sci & Technol, Dept Mech Engn, Shanghai 200237, Peoples R China

年份：2020

卷号：81

起止页码：97

外文期刊名：MEDICAL ENGINEERING & PHYSICS

收录：;EI(收录号：20202408805544);WOS:【SCI-EXPANDED(收录号:WOS:000544130500011)】；

语种：英文

外文关键词：Mechanomyography; Upper limb motion; Muscle force; Classification

摘要：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 degrees, Motion 1; shoulder flexion of 90 degrees, Motion 2; and shoulder abduction of 90 degrees, 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 volun- teers. 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 ex- tracting 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 mo- tions, and Channel 1 played a role in the classification of the forces. These results demonstrate that col- lection 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. (C) 2020 Published by Elsevier Ltd on behalf of IPEM.