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

Alfonso MastropietroIleana 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
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  • mental health
  • deep learning
  • functional connectivity
  • resting state
  • magnetic resonance imaging
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  • magnetic resonance
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