Development of filtering methods based on spectral decomposition for analyzing cognitive performance using electroencephalogram (EEG) signals
This study aims to implement, detail, and optimize a filtering method based on spectral decomposition to noise removal and analysis of EEG signals focused on cognitive performance. Popular filtering techniques, such as ICA, PCA, and wavelet transforms, often face limitations in precise feature extra...
Gorde:
| Egile nagusia: | |
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| Formatua: | bachelorThesis |
| Hizkuntza: | eng |
| Argitaratua: |
2025
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| Gaiak: | |
| Sarrera elektronikoa: | http://repositorio.yachaytech.edu.ec/handle/123456789/942 |
| Etiketak: |
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