Key result
The developed low-cost, dry-comb EEG-electrode integration successfully detected expected alpha wave increases during eye closure and characteristic electrooculographic artifacts during eye blinking.
Why the study?
Existing equipment limited available electrode positions, motivating a pragmatic, low-cost approach to lower the barrier for integrating EEG with other brain activity sensors.
A low-cost, 3D-printed adapter successfully integrates dry EEG electrodes into a standard fNIRS cap, enabling accessible multimodal brain activity monitoring.
May enable accessible multimodal monitoring in research; leaves open clinical validation.
This paper describes development of an experimental setup that enables convenient and fast integration of low-cost, spring-loaded, dry electroencephalography (EEG) electrodes with a research-grade sensor cap. The proposed setup increases available electrode positions compared to the current equipment, and constitutes a pragmatic, low-cost approach for integrating EEG-measurements in combination with other brain activity sensors. The proposed solution aims to lower the barrier for including EEG as an additional modality in existing experimental setups.
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Erichsen et al. (2020) studied this question. Low-cost, dry-comb EEG-electrode integration with standard electrode cap was evaluated on Signal quality (detection of alpha waves and EOG artifacts). The developed low-cost, dry-comb EEG-electrode integration successfully detected expected alpha wave increases during eye closure and characteristic electrooculographic artifacts during eye blinking.
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