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Authors: Judith Bütefür 1 ; Mathias Trampler 2 and Elsa Kirchner 1 ; 2

Affiliations: 1 Institute of Medical Technology Systems, University of Duisburg-Essen, Duisburg, Germany ; 2 Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI GmbH), Bremen, Germany

Keyword(s): Workload, N-Back Task, EEG Frequency Power, Task Load Index, Dry Electrode Headset.

Abstract: In this paper we aim to investigate whether the use of dry electrodes to detect multimodal workload could be a viable way forward in the future. Therefore, we did a comparative study with gel (6 subjects) and dry electrodes (2 subjects) and analysed the data using the Task Load Index (TLI) and the power spectrum of different frequency bands. The results show that the TLI is significantly increasing for higher workload condition (p < 0.04) and expected changes in the frequency bands are significant for both gel and dry electrodes in subject-specific frequency bands. In conclusion, the results look promising, and it is worthwhile to conduct another study with more subjects using dry electrodes.

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Paper citation in several formats:
Bütefür, J.; Trampler, M. and Kirchner, E. (2024). Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 747-754. DOI: 10.5220/0012357800003657

@conference{biosignals24,
author={Judith Bütefür. and Mathias Trampler. and Elsa Kirchner.},
title={Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS},
year={2024},
pages={747-754},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012357800003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS
TI - Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans
SN - 978-989-758-688-0
IS - 2184-4305
AU - Bütefür, J.
AU - Trampler, M.
AU - Kirchner, E.
PY - 2024
SP - 747
EP - 754
DO - 10.5220/0012357800003657
PB - SciTePress

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