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Artículo

The Challenging Scalp-Electrode Interface and the Evolution of Materials and Electrode integrated ICTs for Electroencephalography

Alarcon Segovia, Lilian CelesteIcon ; Morel, María del Rosario; Spies, Ruben DanielIcon ; Rintoul, IgnacioIcon
Fecha de publicación: 02/2024
Editorial: World Scientific
Revista: Surface Review And Letters
ISSN: 0218-625X
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ingeniería de los Materiales; Otras Ciencias de la Salud

Resumen

Electroencephalography (EEG) is a non-invasive technique used to measure theelectrical activity of the brain. The use of EEG is very important for the diagnosis oftraumatic brain events and mental states such as injury, stroke, depression and manyothers including the COVID-19 brain fog syndrome. The quality of EEG signals largelydepends on the nature of the interface between the surface of the electrode material andthe surface of the scalp from where the electrical brain signals are acquired. The scalpsurface is composed of an epidermic substrate with hair, grease, dirt, dandruff, skinpeels and eventually many different hair products. The electrodes must combine severalproperties including electrical conductivity, mechanical strength, biocompatibility andcorrosion resistance. They also must be manufactured with shapes designed toovercome the inherently complex nature of the scalp-electrode interface. This reviewreports the latest advances in the design of materials, surface coatings, conductive gelsand information and communication technologies being developed to increase thequality of measurement of brain electrical signals in EEG protocols.
Palabras clave: EEG , DRY ELECTRODE , SUBSTRATE , CONDUCTIVE MATERIAL , GELS AND CREAMS , TATTOO SENSOR , INTERNET OF THINGS
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/245933
URL: https://www.worldscientific.com/doi/10.1142/S0218625X24300090
DOI: http://dx.doi.org/10.1142/S0218625X24300090
Colecciones
Articulos(IMAL)
Articulos de INST.DE MATEMATICA APLICADA "LITORAL"
Articulos(INTEC)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Citación
Alarcon Segovia, Lilian Celeste; Morel, María del Rosario; Spies, Ruben Daniel; Rintoul, Ignacio; The Challenging Scalp-Electrode Interface and the Evolution of Materials and Electrode integrated ICTs for Electroencephalography; World Scientific; Surface Review And Letters; 31; 9; 2-2024; 1-14
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