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

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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Bibliographic Details
Main Authors: Nasir Rashid, Javaid Iqbal, Fahad Mahmood, Anam Abid, Umar S. Khan, Mohsin I. Tiwana
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Human Neuroscience
Subjects:
brain computer interface (BCI)
artificial immune system (AIS)
staked auto-encoder
mel frequency cepstral coefficients (MFCC)
electroencephalogram
genetic algorithm
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2018.00439/full

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https://www.frontiersin.org/article/10.3389/fnhum.2018.00439/full

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