TY  - JOUR 
AU  - Marcos Martínez, Diego
AU  - Pérez Velasco, Sergio
AU  - Martínez Cagigal, Víctor
AU  - SantaMaría Vazquez, Eduardo
AU  - Hornero Sánchez, Roberto
PY  - 2025
SN  - 1746-8094
UR  - https://uvadoc.uva.es/handle/10324/78224
AB  - Ocular artifacts (OA) are the most common artifacts in electroencephalography (EEG), significantly affecting
signal quality and analysis. Common approaches like indepentent component analysis (ICA) or regression-based
methods address this problem...
LA  - eng
PB  - Elsevier
KW  - Deep learning
KW  - Ocular artifacts
KW  - Electroencephalography
KW  - Brain–computer interfaces
KW  - Electrooculography
TI  - Calibration-free Ocular artifact reduction in EEG signals using a montage-independent deep learning model
DO  - 10.1016/j.bspc.2025.108147
ER  -