کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7237259 1471117 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of matrix factorisation approaches for muscle synergy extraction
ترجمه فارسی عنوان
ارزیابی رویکردهای تقسیم بندی ماتریکس برای استخراج عضله سینرژی
کلمات کلیدی
همبستگی عضلانی، تقسیم ماتریس، الکترومیوگرافی سطحی، مقیاس ماتریس غیر منفی، شناسایی کورس دوم مرتب، تجزیه و تحلیل مولفه اصلی، تجزیه و تحلیل جزء مستقل،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
چکیده انگلیسی
The muscle synergy concept provides a widely-accepted paradigm to break down the complexity of motor control. In order to identify the synergies, different matrix factorisation techniques have been used in a repertoire of fields such as prosthesis control and biomechanical and clinical studies. However, the relevance of these matrix factorisation techniques is still open for discussion since there is no ground truth for the underlying synergies. Here, we evaluate factorisation techniques and investigate the factors that affect the quality of estimated synergies. We compared commonly used matrix factorisation methods: Principal component analysis (PCA), Independent component analysis (ICA), Non-negative matrix factorization (NMF) and second-order blind identification (SOBI). Publicly available real data were used to assess the synergies extracted by each factorisation method in the classification of wrist movements. Synthetic datasets were utilised to explore the effect of muscle synergy sparsity, level of noise and number of channels on the extracted synergies. Results suggest that the sparse synergy model and a higher number of channels would result in better estimated synergies. Without dimensionality reduction, SOBI showed better results than other factorisation methods. This suggests that SOBI would be an alternative when a limited number of electrodes is available but its performance was still poor in that case. Otherwise, NMF had the best performance when the number of channels was higher than the number of synergies. Therefore, NMF would be the best method for muscle synergy extraction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Engineering & Physics - Volume 57, July 2018, Pages 51-60
نویسندگان
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