Reliability of Mental Workload Index Assessed by EEG with Different Electrode Configurations and Signal Pre-Processing Pipelines.

Alfonso Mastropietro Ileana PirovanoAlessio MarcianoSimone PorcelliGiovanna Rizzo

Published in: Sensors (Basel, Switzerland) (2023)

The most complex PPPs have been proven to ensure good reliability (>0.90) and sensitivity in all experimental conditions. In conclusion, we propose to use at least a two-electrode configuration (Fz and Pz) and complex PPPs including at least the ICA algorithm (even better including ASR) to mitigate artifacts and obtain reliable and sensitive MWL assessment during cognitive tasks.

Keyphrases

working memory
carbon nanotubes
machine learning
mental health
functional connectivity
deep learning
resting state
magnetic resonance imaging
computed tomography