Automated Pipeline for Infants Continuous EEG (APICE): A flexible pipeline for developmental cognitive studies.

ABSTRACT: Infant electroencephalography (EEG) presents several challenges compared with adult data: recordings are typically short and heavily contaminated by motion artifacts, and the signal changes throughout development. Traditional data preprocessing pipelines, developed mainly for event-related potential analyses, require manual steps. However, larger datasets make this strategy infeasible. Moreover, new analytical approaches may have different preprocessing requirements. We propose an Automated Pipeline for Infants Continuous EEG (APICE). APICE is fully automated, flexible, and modular. The use of multiple algorithms and adaptive thresholds for artifact detection makes it suitable across age groups and testing procedures. Furthermore, the preprocessing is performed on continuous data, enabling

SUBMITTER: Flo A 

PROVIDER: S-EPMC8804179 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature