Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification

The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning methods to classify EMG signals automatically. Even t...

Descripción completa

Detalles Bibliográficos
Autores principales: Yaman, Emine, Subasi, Abdulhamit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885261/
https://www.ncbi.nlm.nih.gov/pubmed/31828145
http://dx.doi.org/10.1155/2019/9152506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885261/
https://www.ncbi.nlm.nih.gov/pubmed/31828145
http://dx.doi.org/10.1155/2019/9152506

Ejemplares similares