利用肌肉协同研究上肢简单和复杂运动的关联性

黄永欣; 文斌; 毛菁菁; 姚瑞; 尹孟奇; 徐进

doi:10.7652/xjtuxb202309020

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利用肌肉协同研究上肢简单和复杂运动的关联性

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- 利用肌肉协同研究上肢简单和复杂运动的关联性
- Research on the Correlation Between Simple and Complex Movements of Upper Limbs Using Muscle Synergy
- 西安交通大学学报 2023年57卷第9期页码：193-202
- 作者机构：
  
  1. 西安交通大学生命科学与技术学院健康与康复科学研究所,西安,710049
  2. 西安交通大学生物医学信息工程教育部重点实验室,西安,710049
  3. 西安交通大学第一附属医院康复科,西安,710061
- 作者简介：
  
  : 2023-01-25。作者简介: 黄永欣(1996—),男,硕士生
  徐进(通信作者),女,教授,博士生导师。基金项目: 国家重点研发计划资助项目(2018YFC2002601)
- 基金信息：
  
  : 2023-01-25。作者简介: 黄永欣(1996—),男,硕士生;徐进(通信作者),女,教授,博士生导师。基金项目: 国家重点研发计划资助项目(2018YFC2002601);国家自然科学基金资助项目(62273271);四川省重点研发计划资助项目(23ZDYF0960)。
- DOI：10.7652/xjtuxb202309020
  中图分类号： R318.04
- 网络首发：2023-09-10，
  
  纸质出版：2023
- 稿件说明：
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黄永欣, 文斌, 毛菁菁, 等. 利用肌肉协同研究上肢简单和复杂运动的关联性[J]. 西安交通大学学报, 2023,57(9):193-202.

HUANG Yongxin, WEN Bin, MAO Jingjing, et al. Research on the Correlation Between Simple and Complex Movements of Upper Limbs Using Muscle Synergy[J]. 2023, 57(9): 193-202.
黄永欣, 文斌, 毛菁菁, 等. 利用肌肉协同研究上肢简单和复杂运动的关联性[J]. 西安交通大学学报, 2023,57(9):193-202. DOI： 10.7652/xjtuxb202309020.

HUANG Yongxin, WEN Bin, MAO Jingjing, et al. Research on the Correlation Between Simple and Complex Movements of Upper Limbs Using Muscle Synergy[J]. 2023, 57(9): 193-202. DOI： 10.7652/xjtuxb202309020.

摘要

针对简单运动和复杂运动的关联性不清的问题

从肌肉协同分析角度

利用非负最小二乘法和余弦相似度相结合的方法

对两类运动的关联性进行研究。分别设计上肢简单和复杂运动范式

并采集20名健康受试者在运动执行过程中的8通道表面肌电信号(sEMG); 利用非负矩阵分解方法对8通道sEMG进行解码

分别提取上肢简单和复杂运动的肌肉协同模式; 采用非负最小二乘法求解线性组合模型中非负线性系数

并据此与简单运动的协同模式进行运动重构; 通过余弦相似度评估重构运动与复杂运动之间的相似性

并探讨简单运动和复杂运动的关联性。研究结果表明

复杂运动协同模式是简单运动协同模式的保留和合并; 模式保留说明简单和复杂运动之间存在共享的基本肌肉协同模式

模式合并说明复杂运动的协同模式是简单运动协同模式的线性组合。该研究可为神经肌肉运动控制和肌-机接口技术研究提供参考。

Abstract

In order to solve the unclear correlation between muscle synergy patterns of simple and complex movements

the method of combining non-negative least square and cosine similarity was utilized to study the correlation between the two types of movements from the perspective of muscle synergy analysis. Firstly

simple and complex upper limb movement paradigms were designed separately and 8-channel surface electromyography(sEMG)signals were recorded from 20 healthy subjects during movement execution. Secondly

muscle synergy patterns for simple and complex upper limb movements were extracted respectively by decoding of 8-channel sEMG signals using non-negative matrix factorization. Then

the non-negative linear coefficients of the linear combination model were calculated using the non-negative least square and the reconstructed motions were constructed based on these coefficients and the synergy patterns of simple movements. Finally

the similarities between the reconstructed motions and complex movements were evaluated by cosine similarity

and the correlation between simple and complex movements was explored. The results show that synergy patterns of complex movements are the preservation and merging of synergy patterns of simple movements. The preservation of synergy patterns indicates that there are shared basic muscle synergy patterns between simple and complex movements

and the merging of synergy patterns indicates that the synergy patterns of complex movements are a linear combination of synergy patterns of simple movements. The research provides a theoretical basis for the study of neuromuscular motor control and a reference for the study of muscle-computer interface technology.

关键词

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references

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