Exploiting the Cone of Influence for Improving the Performance of Wavelet Transform-Based Models for ERP/EEG Classification

Features extracted from the wavelet transform coefficient matrix are widely used in the design of machine learning models to classify event-related potential (ERP) and electroencephalography (EEG) signals in a wide range of brain activity research and clinical studies. This novel study is aimed at d...

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Detalles Bibliográficos
Autores principales: Chen, Xiaoqian, Gupta, Resh S., Gupta, Lalit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856575/
https://www.ncbi.nlm.nih.gov/pubmed/36672003
http://dx.doi.org/10.3390/brainsci13010021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856575/
https://www.ncbi.nlm.nih.gov/pubmed/36672003
http://dx.doi.org/10.3390/brainsci13010021

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