Epilepsy EEG classification method based on supervised locality preserving canonical correlation analysis

DOI10.3934/MBE.2022028zbMath1486.92101OpenAlexW3217304084MaRDI QIDQ2130109

Hongming Liu, Yunyuan Gao, Juanjuan Zhang, Jian-hai Zhang

Publication date: 25 April 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022028

zbMATH Keywords

feature extractionelectroencephalogram (EEG)feature fusionepileptic seizuresupervised locality preserving canonical correlation analysis (SLPCCA)

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Cites Work

• Appearance models based on kernel canonical correlation analysis.

This page was built for publication: Epilepsy EEG classification method based on supervised locality preserving canonical correlation analysis