dc.contributor.author |
Tong, A |
|
dc.contributor.author |
Perera, P |
|
dc.contributor.author |
Sarsenbayeva, Z |
|
dc.contributor.author |
McEwan, A |
|
dc.contributor.author |
De Silva, AC |
|
dc.contributor.author |
Withana, A |
|
dc.date.accessioned |
2023-11-28T05:09:09Z |
|
dc.date.available |
2023-11-28T05:09:09Z |
|
dc.date.issued |
2023-01 |
|
dc.identifier.citation |
Tong, A., Perera, P., Sarsenbayeva, Z., McEwan, A., De Silva, A. C., & Withana, A. (2023). Fully 3D-Printed Dry EEG Electrodes. Sensors, 23(11), Article 11. https://doi.org/10.3390/s23115175 |
en_US |
dc.identifier.issn |
1424-8220 |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/21751 |
|
dc.description.abstract |
Electroencephalography (EEG) is used to detect brain activity by recording electrical signals
across various points on the scalp. Recent technological advancement has allowed brain signals to
be monitored continuously through the long-term usage of EEG wearables. However, current EEG
electrodes are not able to cater to different anatomical features, lifestyles, and personal preferences,
suggesting the need for customisable electrodes. Despite previous efforts to create customisable EEG
electrodes through 3D printing, additional processing after printing is often needed to achieve the
required electrical properties. Although fabricating EEG electrodes entirely through 3D printing
with a conductive material would eliminate the need for further processing, fully 3D-printed EEG
electrodes have not been seen in previous studies. In this study, we investigate the feasibility of using
a low-cost setup and a conductive filament, Multi3D Electrifi, to 3D print EEG electrodes. Our results
show that the contact impedance between the printed electrodes and an artificial phantom scalp is
under 550 W, with phase change of smaller than 30 , for all design configurations for frequencies
ranging from 20 Hz to 10 kHz. In addition, the difference in contact impedance between electrodes
with different numbers of pins is under 200 W for all test frequencies. Through a preliminary
functional test that monitored the alpha signals (7–13 Hz) of a participant in eye-open and eyeclosed
states, we show that alpha activity can be identified using the printed electrodes. This work
demonstrates that fully 3D-printed electrodes have the capability of acquiring relatively high-quality
EEG signals. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.subject |
EEG |
en_US |
dc.subject |
3D printing |
en_US |
dc.subject |
dry electrodes |
en_US |
dc.subject |
conductive filament |
en_US |
dc.title |
Fully 3d-printed dry EEG electrodes |
en_US |
dc.type |
Article-Full-text |
en_US |
dc.identifier.year |
2023 |
en_US |
dc.identifier.journal |
Sensors |
en_US |
dc.identifier.issue |
11 |
en_US |
dc.identifier.volume |
23 |
en_US |
dc.identifier.database |
MDPI |
en_US |
dc.identifier.pgnos |
5175 |
en_US |
dc.identifier.doi |
https://doi.org/10.3390/s23115175 |
en_US |