Evaluation of Strategies Based on Wavelet-ICA and ICLabel for Artifact Correction in EEG Recordings
In quantitative electroencephalography, it is of vital importance to eliminate non-neural components, as these can lead to an erroneous analysis of the acquired signals, limiting their use in diagnosis and other clinical applications. In light of this drawback, preprocessing pipelines based on the...
| Główni autorzy: | , , , , |
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| Format: | Artykuł |
| Język: | English |
| Wydane: |
Universidad Distrital Francisco José de Caldas
2023-01-01
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| Seria: | Revista Científica |
| Hasła przedmiotowe: | |
| Dostęp online: | https://200.69.103.50/index.php/revcie/article/view/19068 |