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The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications

The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if trained with bad processed data. Preprocessing is cru...

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Bibliografiske detaljer
Principais autores: Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2025-01-01
Serier:IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Online adgang:https://ieeexplore.ieee.org/document/10909332/
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