AnyBody Technology

Aalborg, Denmark

AnyBody Technology

Aalborg, Denmark
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Mehryar P.,University of Leeds | Shourijeh M.S.,AnyBody Technology | Rezaeian T.,University of Leeds | Iqbal N.,Abdul Wali Khan University Mardan | And 2 more authors.
2017 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2017 | Year: 2017

The number of lower limb amputations is increasing significantly in developed countries. The knowledge of muscle synergy in subjects with loss of muscles could help to understand the general neural strategy underlying muscle coordination in walking. The aim of this study was to investigate the differences in healthy subject's dominant leg, amputee's intact leg (IL) and the amputee's prosthetic leg (PL) muscles using synergy analysis. Concatenated non-negative matrix factorization (CNMF) was performed to divide the surface electromyography (sEMG) data obtained from 6 upper knee and 4 shank muscles into muscle synergy (S) and activation coefficient profile (C) during walking. The difference in S showed low to high correlations inter-subjectively. The high correlation suggests that the central nervous system (CNS) activates the same groups of muscles synergistically. Amputee's muscle alterations due to inadequate proprioceptive feedback, weight bearing deficiency in PL and prosthesis type could lead to a low correlation in S between groups. The C showed to be statistically significantly different in some regions of the gait cycle (GC). These findings could provide valuable information for rehabilitation purposes and development of a synergy-based controller from sEMG for future generations of prostheses. © 2017 IEEE.

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