Survey for Electroencephalography EEG Signal Classification Approaches
Survey for Electroencephalography EEG Signal Classification Approaches
Safaa S. Al-fraiji,Dhiah Al-Shammary
2021 · DOI: 10.1007/978-981-16-1866-6_14
4 Citations
TLDR
Electroencephalogram signal classification approaches based on machine learning algorithms: SVM, ANN, KNN, CNN, LDA, multi-classifier and more other classification approaches are analyzed and investigated and all classification approaches have shown potential accuracy in classifying EEG signals.
