Motor imagery classification method based on relative wavelet packet entropy brain network and improved lasso

Motor imagery (MI) electroencephalogram (EEG) signals have a low signal-to-noise ratio, which brings challenges in feature extraction and feature selection with high classification accuracy. In this study, we proposed an approach that combined an improved lasso with relief-f to extract the wavelet p...

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Detalles Bibliográficos
Autores principales: Wang, Manqing, Zhou, Hui, Li, Xin, Chen, Siyu, Gao, Dongrui, Zhang, Yongqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936148/
https://www.ncbi.nlm.nih.gov/pubmed/36816135
http://dx.doi.org/10.3389/fnins.2023.1113593

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936148/
https://www.ncbi.nlm.nih.gov/pubmed/36816135
http://dx.doi.org/10.3389/fnins.2023.1113593

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