Dealing with eye artifacts in EEG preprocessing: Comparing Artifact Rejection and Correction Methods
Autor: | Gref, Daria, Rahman, Rasha Abdel, Enge, Alexander |
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Rok vydání: | 2023 |
Předmět: | |
DOI: | 10.17605/osf.io/frw4k |
Popis: | This study aims to compare different techniques for reducing the impact of eye artifacts on electroencephalography (EEG) data. Four pipelines will be created, each representing a different approach, and applied to pre-recorded EEG data from 40 participants. The pipelines will be evaluated by comparing the data quality after pre-processing using standardized measurement errors. |
Databáze: | OpenAIRE |
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