GSVMD: A High-Performance Method for Denoising Surface-Electromyography Signals With Generalized Successive Variational Mode Decomposition
Surface electromyography (sEMG) has been used for decades to diagnose movement and neuromuscular disorders; however, sEMG signals are noisy and interfered with, and the nonstationary, nonlinear nature of sEMG signals complicates their use for diagnostic purposes. However, existing denoising methods...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2025-01-01
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| Colecção: | IET Signal Processing |
| Acesso em linha: | http://dx.doi.org/10.1049/sil2/4430915 |
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