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Muscle Fatigue Analysis With Optimized Complementary Ensemble Empirical Mode Decomposition and Multi-Scale Envelope Spectral Entropy
The preprocessing of surface electromyography (sEMG) signals with complementary ensemble empirical mode decomposition (CEEMD) improves frequency identification precision and temporal resolution, and lays a good foundation for feature extraction. However, a mode-mixing problem often occurs when the C...
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| Publié dans: | Front Neurorobot |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7674835/ https://ncbi.nlm.nih.gov/pubmed/33250732 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2020.566172 |
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