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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |