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...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , , , , |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
Wiley
2025-01-01
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| Цуврал: | IET Signal Processing |
| Онлайн хандалт: | http://dx.doi.org/10.1049/sil2/4430915 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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