Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals

Artificial immune systems (AIS) are intelligent algorithms derived from the principles inspired by the human immune system. In this study, electroencephalography (EEG) signals for four distinct motor movements of human limbs are detected and classified using a negative selection classification algor...

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Detalles Bibliográficos
Autores principales: Rashid, Nasir, Iqbal, Javaid, Mahmood, Fahad, Abid, Anam, Khan, Umar S., Tiwana, Mohsin I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6256735/
https://www.ncbi.nlm.nih.gov/pubmed/30524257
http://dx.doi.org/10.3389/fnhum.2018.00439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6256735/
https://www.ncbi.nlm.nih.gov/pubmed/30524257
http://dx.doi.org/10.3389/fnhum.2018.00439

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