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o-CLEAN: a novel multi-stage algorithm for the ocular artifacts' correction from EEG data in out-of-the-lab applications.

Vincenzo RoncaGianluca Di FlumeriAndrea GiorgiAlessia VozziRossella CapotortoDaniele GermanoNicolina SciaraffaGianluca BorghiniFabio BabiloniPietro Aricò
Published in: Journal of neural engineering (2024)
the testing and validation of the o-CLEAN addresses a relevant open issue in bioengineering EEG processing, especially within out-of-the-lab application. In fact, the method offers an effective solution for correcting ocular artifacts in EEG signals with a low number of available channels, for online processing, and without any specific template of the EOG. It was demonstrated to be particularly effective for EEG data gathered in real environments using wearable systems, a rapidly expanding area within applied neuroscience.
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