An approach for improving repeatability and reliability of non-negative matrix factorization for muscle synergy analysis

被引:39
作者
Shourijeh, Mohammad S. [1 ,2 ]
Flaxman, Teresa E. [1 ]
Benoit, Daniel L. [1 ,2 ]
机构
[1] Univ Ottawa, Sch Rehabil Sci, Ottawa, ON K1N 6N5, Canada
[2] Univ Ottawa, Dept Mech Engn, Ottawa, ON K1N 6N5, Canada
基金
加拿大创新基金会; 加拿大自然科学与工程研究理事会; 加拿大健康研究院;
关键词
Muscle synergy; Non-negative matrix factorization; Repeatability; Robustness; Electromyography; Knee; MODULAR CONTROL; MOVEMENT;
D O I
10.1016/j.jelekin.2015.12.001
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The aim of this study was to evaluate non-negative matrix factorization (NMF) and concatenated NMF (CNMF) to analyze and reliably extract muscle synergies. NMF and CNMF were used to extract knee joint muscle synergies from surface EMGs collected during a weight bearing, force matching task. Repeatability and between subject similarity were evaluated for each method using intra-class correlation coefficients (ICCs). High repeatability was found for CNMF (>0.99; 0.99-1.0) compared to NMF (> 0.26; range 0.26-0.98). Reasonable consistency across subjects was improved using the CNMF over the NMF approach. CNMF was found to be a more reliable approach than NMF and suitable for between subject comparison of muscle synergies. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:36 / 43
页数:8
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