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Novel electrode architecture for subgaleal electroencephalography: a feasibility study

journal contribution
posted on 2024-11-02, 19:31 authored by Arman AhnoodArman Ahnood, Nhan Truong, Bobbi FleissBobbi Fleiss, Armin Nikpour, Omid Kavehei
Electroencephalography (EEG) has been widely used to monitor and understand the nervous system and as a clinical diagnostic tool. In the case of neurological conditions with intermittent episodes, such as epilepsy, long-term EEG monitoring outside the clinics and in the community setting is vital. Subgaleal EEG (sgEEG) has emerged as an essential tool for long-term monitoring over several years. Current sgEEG solutions share a need for at least a 10 cm long lead wire, resulting in a bulky and invasive device. This work introduces a novel electrode architecture for subgaleal EEG recording, which forgoes the need for lead wires. A back-to-back electrode configuration with a physical electrode spacing of less than 1 mm is proposed. Compared to the current side-by-side approaches with an electrode spacing of several cm, our proposed approach results in at least one order of magnitude reduction in volume. The efficacy of the proposed electrode architecture is investigated through finite element modeling, phantom measurements, and cadaver studies. Our results suggest that compared to the conventional side-by-side electrode configuration, the source signal can be recorded reliably. Lead wires have posed a significant challenge from a device reliability and measurement quality perspective. Moreover, lead wires and the associated feedthrough connectors are bulky. Our proposed lead-free EEG recording solution may lead to a less invasive surgical placement through volume reduction and improve EEG recording quality.

History

Journal

Sensors & Diagnostics

Volume

1

Start page

245

End page

261

Total pages

17

Publisher

Royal Society of Chemistry

Place published

United Kingdom

Language

English

Copyright

© 2022 The Author(s). Published by the Royal Society of Chemistry

Former Identifier

2006114361

Esploro creation date

2022-07-03

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