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Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification
In comparison to other biomedical signals, electroencephalography (EEG) signals are quite complex in nature, so it requires a versatile model for feature extraction and classification. The structural information that prevails in the originally featured matrix is usually lost when dealing with standa...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709410/ https://www.ncbi.nlm.nih.gov/pubmed/36465961 http://dx.doi.org/10.3389/fncom.2022.1016516 |