Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp.
CNT PDMS nanocomposites
dry electroencephalography (EEG) electrodes
self adhesive electrodes
wearables
Journal
Advanced healthcare materials
ISSN: 2192-2659
Titre abrégé: Adv Healthc Mater
Pays: Germany
ID NLM: 101581613
Informations de publication
Date de publication:
09 2023
09 2023
Historique:
revised:
23
03
2023
received:
12
01
2023
medline:
4
9
2023
pubmed:
11
5
2023
entrez:
11
5
2023
Statut:
ppublish
Résumé
Electroencephalography has garnered interest for applications in mobile healthcare, human-machine interfaces, and Internet of Things. Conventional electroencephalography relies on wet and dry electrodes. Despite favorable interface impedance of wet electrodes and skin, the application of a large amount of gel at their interface with skin limits the electroencephalography spatial resolution, increases the risk of shorting between electrodes, and makes them unsuited for long-term mobile recording. In contrast, dry electrodes are better suited for long-term recordings but susceptible to motion artifacts. In addition, both wet and dry electrodes are non-adhesive to the hairy scalp and mechanical support, or chemical adhesives are used to hold them in place. Herein, a conical microstructure array (CMSA) based sensor made of carbon nanotube-polydimethylsiloxane composite is reported. The CMSA sensor is fabricated using the innovative, cost-effective, and scalable method of viscosity-controlled dip-pull process. The sensor adheres to the hairy scalp by generating negative pressure in its conical microstructures when it is pressed against scalp. Aided by the application of a trace amount of gel, CMSA sensor establishes good electrical contact with the skin, enabling its applications in mobile electroencephalography over extended periods. Notably, the signal quality of CMSA sensors is comparable to that of medical-grade wet gel electrodes.
Identifiants
pubmed: 37165724
doi: 10.1002/adhm.202300142
doi:
Substances chimiques
Adhesives
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2300142Informations de copyright
© 2023 The Authors. Advanced Healthcare Materials published by Wiley-VCH GmbH.
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