A Spiking Neural Network in sEMG Feature Extraction

We have developed a novel algorithm for sEMG feature extraction and classification. It is based on a hybrid network composed of spiking and artificial neurons. The spiking neuron layer with mutual inhibition was assigned as feature extractor. We demonstrate that the classification accuracy of the pr...

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Detalles Bibliográficos
Autores principales: Lobov, Sergey, Mironov, Vasiliy, Kastalskiy, Innokentiy, Kazantsev, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701259/
https://www.ncbi.nlm.nih.gov/pubmed/26540060
http://dx.doi.org/10.3390/s151127894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701259/
https://www.ncbi.nlm.nih.gov/pubmed/26540060
http://dx.doi.org/10.3390/s151127894

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