A Hybrid Classifier for Characterizing Motor Unit Action Potentials in Diagnosing Neuromuscular Disorders

Background: The time and frequency features of motor unit action potentials (MUAPs) extracted from electromyographic (EMG) signal provide discriminative information for diagnosis and treatment of neuromuscular disorders. However, the results of conventional automatic diagnosis methods using MUAP fea...

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Detalles Bibliográficos
Autores principales: Kamali, T, Boostani, R, Parsaei, H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2013
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204505/
https://www.ncbi.nlm.nih.gov/pubmed/25505761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204505/
https://www.ncbi.nlm.nih.gov/pubmed/25505761

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