Publication
Evaluation of Gel and Dry Electrodes for EEG Measurement to Compare Their Suitability for Multimodal Workload Detection in Humans (Best Student Paper Award)
Judith Bütefür; Mathias Trampler; Elsa Andrea Kirchner
In: BIOSIGNALS 2024 : 17th International Conference on Bio-inspired Systems and Signal Processing. International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS-2024), February 21-23, Rom, Italy, ISBN 978-989-758-688-0, Biosignals, 2024.
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.