Hand Movement Classification Using Burg Reflection Coefficients

Classification of electromyographic signals has a wide range of applications, from clinical diagnosis of different muscular diseases to biomedical engineering, where their use as input for the control of prosthetic devices has become a hot topic of research. The challenge of classifying these signal...

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Detalles Bibliográficos
Autores principales: Ramírez-Martínez, Daniel, Alfaro-Ponce, Mariel, Pogrebnyak, Oleksiy, Aldape-Pérez, Mario, Argüelles-Cruz, Amadeo-José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387220/
https://www.ncbi.nlm.nih.gov/pubmed/30682797
http://dx.doi.org/10.3390/s19030475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387220/
https://www.ncbi.nlm.nih.gov/pubmed/30682797
http://dx.doi.org/10.3390/s19030475

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