Surface Electromyography Signal Processing and Classification Techniques

Electromyography (EMG) signals are becoming increasingly important in many applications, including clinical/biomedical, prosthesis or rehabilitation devices, human machine interactions, and more. However, noisy EMG signals are the major hurdles to be overcome in order to achieve improved performance...

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Detalles Bibliográficos
Autores principales: Chowdhury, Rubana H., Reaz, Mamun B. I., Ali, Mohd Alauddin Bin Mohd, Bakar, Ashrif A. A., Chellappan, Kalaivani, Chang, Tae. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821366/
https://www.ncbi.nlm.nih.gov/pubmed/24048337
http://dx.doi.org/10.3390/s130912431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821366/
https://www.ncbi.nlm.nih.gov/pubmed/24048337
http://dx.doi.org/10.3390/s130912431

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