Reproducible machine learning research in mental workload classification using EEG

Reproducible machine learning research in mental workload classification using EEG

This study addresses concerns about reproducibility in scientific research, focusing on the use of electroencephalography (EEG) and machine learning to estimate mental workload. We established guidelines for reproducible machine learning research using EEG and used these to assess the current state...

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Bibliographic Details
Main Authors: Güliz Demirezen, Tuğba Taşkaya Temizel, Anne-Marie Brouwer
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Neuroergonomics
Subjects:
neuroergonomics
reproducibility
EEG
physiological measurement
mental workload
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnrgo.2024.1346794/full

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