Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment
Andrea Farabbi, Andrea Costanzo Palmisciano, Matteo Rossi, Niccolò Antonello, Diana Trojaniello, Tommaso Ongarello, Pietro Cerveri, Pietro Cerveri, Luca Mainardi
2025
Abstract
This research contributes to the advancement of practical, user-friendly EEG devices for both research and real-world applications. The paper presents a comprehensive study on the development and characterization of wearable electroencephalography (EEG) recording in non-traditional electrode locations. In particular, we focus on optimizing electrode placement, material selection, and signal quality assessment. Our investigation includes impedance testing of various electrode materials, comparative analysis of dry versus wet electrodes, and validation through standard EEG protocols. Results demonstrate the feasibility of acquiring high-quality EEG signals from over-the-ear locations where using gold-plated brush electrodes with retractile pins, show superior impedance characteristics (105Ω) compared to other tested materials. We also validate and compare dry electrodes by means of an eyes-open/eyes-closed protocol, confirming the ability to detect alpha rhythm modulation in non-traditional electrode placements.
DownloadPaper Citation
in Harvard Style
Farabbi A., Palmisciano A., Rossi M., Antonello N., Trojaniello D., Ongarello T., Cerveri P. and Mainardi L. (2025). Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-731-3, SciTePress, pages 716-720. DOI: 10.5220/0013153300003911
in Bibtex Style
@conference{biosignals25,
author={Andrea Farabbi and Andrea Palmisciano and Matteo Rossi and Niccolò Antonello and Diana Trojaniello and Tommaso Ongarello and Pietro Cerveri and Luca Mainardi},
title={Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2025},
pages={716-720},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013153300003911},
isbn={978-989-758-731-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Advancements in Wearable EEG Technology: Electrode Characterization and Signal Quality Assessment
SN - 978-989-758-731-3
AU - Farabbi A.
AU - Palmisciano A.
AU - Rossi M.
AU - Antonello N.
AU - Trojaniello D.
AU - Ongarello T.
AU - Cerveri P.
AU - Mainardi L.
PY - 2025
SP - 716
EP - 720
DO - 10.5220/0013153300003911
PB - SciTePress