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Fully 3D-Printed Dry EEG Electrodes
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255664/ https://www.ncbi.nlm.nih.gov/pubmed/37299902 http://dx.doi.org/10.3390/s23115175 |
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author | Tong, Adele Perera, Praneeth Sarsenbayeva, Zhanna McEwan, Alistair De Silva, Anjula C. Withana, Anusha |
author_facet | Tong, Adele Perera, Praneeth Sarsenbayeva, Zhanna McEwan, Alistair De Silva, Anjula C. Withana, Anusha |
author_sort | Tong, Adele |
collection | PubMed |
description | 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 [Formula: see text] , with phase change of smaller than −30 [Formula: see text] , 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 [Formula: see text] for all test frequencies. Through a preliminary functional test that monitored the alpha signals (7–13 Hz) of a participant in eye-open and eye-closed 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. |
format | Online Article Text |
id | pubmed-10255664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102556642023-06-10 Fully 3D-Printed Dry EEG Electrodes Tong, Adele Perera, Praneeth Sarsenbayeva, Zhanna McEwan, Alistair De Silva, Anjula C. Withana, Anusha Sensors (Basel) Article 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 [Formula: see text] , with phase change of smaller than −30 [Formula: see text] , 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 [Formula: see text] for all test frequencies. Through a preliminary functional test that monitored the alpha signals (7–13 Hz) of a participant in eye-open and eye-closed 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. MDPI 2023-05-29 /pmc/articles/PMC10255664/ /pubmed/37299902 http://dx.doi.org/10.3390/s23115175 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tong, Adele Perera, Praneeth Sarsenbayeva, Zhanna McEwan, Alistair De Silva, Anjula C. Withana, Anusha Fully 3D-Printed Dry EEG Electrodes |
title | Fully 3D-Printed Dry EEG Electrodes |
title_full | Fully 3D-Printed Dry EEG Electrodes |
title_fullStr | Fully 3D-Printed Dry EEG Electrodes |
title_full_unstemmed | Fully 3D-Printed Dry EEG Electrodes |
title_short | Fully 3D-Printed Dry EEG Electrodes |
title_sort | fully 3d-printed dry eeg electrodes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255664/ https://www.ncbi.nlm.nih.gov/pubmed/37299902 http://dx.doi.org/10.3390/s23115175 |
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