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, (BIOSIGNALS-2024), 21.2.-23.2.2024, Rom, Biosignals, 2024. ISBN: 978-989-758-688-0.

Zusammenfassung (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.

Stichworte :

Workload, N-Back Task, EEG Frequency Power, Task Load Index, Dry Electrode Headset

zuletzt geändert am 27.02.2023