Flower electrodes for comfortable dry electroencephalography.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
03 10 2023
Historique:
received: 26 05 2023
accepted: 14 09 2023
medline: 5 10 2023
pubmed: 4 10 2023
entrez: 3 10 2023
Statut: epublish

Résumé

Dry electroencephalography (EEG) electrodes provide rapid, gel-free, and easy EEG preparation, but with limited wearing comfort. We propose a novel dry electrode comprising multiple tilted pins in a flower-like arrangement. The novel Flower electrode increases wearing comfort and contact area while maintaining ease of use. In a study with 20 volunteers, we compare the performance of a novel 64-channel dry Flower electrode cap to a commercial dry Multipin electrode cap in sitting and supine positions. The wearing comfort of the Flower cap was rated as significantly improved both in sitting and supine positions. The channel reliability and average impedances of both electrode systems were comparable. Averaged VEP components showed no considerable differences in global field power amplitude and latency, as well as in signal-to-noise ratio and topography. No considerable differences were found in the power spectral density of the resting state EEGs between 1 and 40 Hz. Overall, our findings provide evidence for equivalent channel reliability and signal characteristics of the compared cap systems in the sitting and supine positions. The reliability, signal quality, and significantly improved wearing comfort of the Flower electrode allow new fields of applications for dry EEG in long-term monitoring, sensitive populations, and recording in supine position.

Identifiants

pubmed: 37789022
doi: 10.1038/s41598-023-42732-8
pii: 10.1038/s41598-023-42732-8
pmc: PMC10547758
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

16589

Subventions

Organisme : Marie Curie
ID : 813483
Pays : United Kingdom

Informations de copyright

© 2023. Springer Nature Limited.

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Auteurs

Indhika Fauzhan Warsito (IF)

Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Ilmenau, Germany.

Milana Komosar (M)

Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Ilmenau, Germany.

Maria Anne Bernhard (MA)

Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Ilmenau, Germany.

Patrique Fiedler (P)

Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Ilmenau, Germany.

Jens Haueisen (J)

Institute of Biomedical Engineering and Informatics at the Technische Universität Ilmenau, Ilmenau, Germany. jens.haueisen@tu-ilmenau.de.
Department of Neurology, Biomagnetic Center, University Hospital Jena, Jena, Germany. jens.haueisen@tu-ilmenau.de.

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