The Spectral Footprint of Neural Activity: How MUAP Properties and Spike Train Variability Shape sEMG
Surface electromyographic (sEMG) signals result from the interaction between motor unit action potentials (MUAPs) and neural spike trains, yet how specific features of spike timing shape the sEMG spectrum is not fully understood. Using a simplified convolutional model, we simulated sEMG by combining...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-10-01
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| coleção: | Bioengineering |
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| Acesso em linha: | https://www.mdpi.com/2306-5354/12/11/1181 |
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