3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles

Autores
Ruiz Mateos Serrano, Ruben; Aguzin, Ana; Mitoudi Vagourdi, Eleni; Tao, Xudong; Naegele, Tobias E.; Jin, Amy T.; Lopez Larrea, Naroa; Picchio, Matías Luis; Alban Paccha, Marco Vinicio; Minari, Roque Javier; Mecerreyes, David; Dominguez Alfaro, Antonio; Malliaras, George G.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The proliferation of medical wearables necessitates the development of novel electrodes for cutaneous electrophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is combined with a deep eutectic solvent (DES) and polyethylene glycol diacrylate (PEGDA) to develop printable and biocompatible electrodes for long-term cutaneous electrophysiology recordings. The impact of printing parameters on the conducting properties, morphological characteristics, mechanical stability and biocompatibility of the material were investigated. The optimised eutectogel formulations were fabricated in four different patterns —flat, pyramidal, striped and wavy— to explore the influence of electrode geometry on skin conformability and mechanical contact. These electrodes were employed for impedance and forearm EMG measurements. Furthermore, arrays of twenty electrodes were embedded into a textile and used to generate body surface potential maps (BSPMs) of the forearm, where different finger movements were recorded and analysed. Finally, BSPMs for three different letters (B, I, O) in sign-language were recorded and used to train a logistic regressor classifier able to reliably identify each letter. This novel cutaneous electrode fabrication approach offers new opportunities for long-term electrophysiological recordings, online sign-language translation and brain-machine nterfaces.
Fil: Ruiz Mateos Serrano, Ruben. University of Cambridge; Reino Unido
Fil: Aguzin, Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mitoudi Vagourdi, Eleni. University of Cambridge; Estados Unidos
Fil: Tao, Xudong. University of Cambridge; Reino Unido
Fil: Naegele, Tobias E.. University of Cambridge; Reino Unido
Fil: Jin, Amy T.. University of Cambridge; Reino Unido
Fil: Lopez Larrea, Naroa. Universidad del País Vasco; España
Fil: Picchio, Matías Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Alban Paccha, Marco Vinicio. University of Cambridge; Estados Unidos
Fil: Minari, Roque Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mecerreyes, David. Universidad del País Vasco; España
Fil: Dominguez Alfaro, Antonio. University of Cambridge; Reino Unido
Fil: Malliaras, George G.. University of Cambridge; Estados Unidos
Materia
EUTECTOGELS
NOVEL ELECTRODES
3D PRINTINGS
EMG MEASUREMENTS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/245913
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/245913
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textilesRuiz Mateos Serrano, RubenAguzin, AnaMitoudi Vagourdi, EleniTao, XudongNaegele, Tobias E.Jin, Amy T.Lopez Larrea, NaroaPicchio, Matías LuisAlban Paccha, Marco VinicioMinari, Roque JavierMecerreyes, DavidDominguez Alfaro, AntonioMalliaras, George G.EUTECTOGELSNOVEL ELECTRODES3D PRINTINGSEMG MEASUREMENTShttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2The proliferation of medical wearables necessitates the development of novel electrodes for cutaneous electrophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is combined with a deep eutectic solvent (DES) and polyethylene glycol diacrylate (PEGDA) to develop printable and biocompatible electrodes for long-term cutaneous electrophysiology recordings. The impact of printing parameters on the conducting properties, morphological characteristics, mechanical stability and biocompatibility of the material were investigated. The optimised eutectogel formulations were fabricated in four different patterns —flat, pyramidal, striped and wavy— to explore the influence of electrode geometry on skin conformability and mechanical contact. These electrodes were employed for impedance and forearm EMG measurements. Furthermore, arrays of twenty electrodes were embedded into a textile and used to generate body surface potential maps (BSPMs) of the forearm, where different finger movements were recorded and analysed. Finally, BSPMs for three different letters (B, I, O) in sign-language were recorded and used to train a logistic regressor classifier able to reliably identify each letter. This novel cutaneous electrode fabrication approach offers new opportunities for long-term electrophysiological recordings, online sign-language translation and brain-machine nterfaces.Fil: Ruiz Mateos Serrano, Ruben. University of Cambridge; Reino UnidoFil: Aguzin, Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Mitoudi Vagourdi, Eleni. University of Cambridge; Estados UnidosFil: Tao, Xudong. University of Cambridge; Reino UnidoFil: Naegele, Tobias E.. University of Cambridge; Reino UnidoFil: Jin, Amy T.. University of Cambridge; Reino UnidoFil: Lopez Larrea, Naroa. Universidad del País Vasco; EspañaFil: Picchio, Matías Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Alban Paccha, Marco Vinicio. University of Cambridge; Estados UnidosFil: Minari, Roque Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Mecerreyes, David. Universidad del País Vasco; EspañaFil: Dominguez Alfaro, Antonio. University of Cambridge; Reino UnidoFil: Malliaras, George G.. University of Cambridge; Estados UnidosElsevier2024-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/245913Ruiz Mateos Serrano, Ruben; Aguzin, Ana; Mitoudi Vagourdi, Eleni; Tao, Xudong; Naegele, Tobias E.; et al.; 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles; Elsevier; Biomaterials; 310; 122624; 10-2024; 1-110142-9612CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0142961224001583info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biomaterials.2024.122624info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:13Zoai:ri.conicet.gov.ar:11336/245913instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:13.595CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
title 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
spellingShingle 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
Ruiz Mateos Serrano, Ruben
EUTECTOGELS
NOVEL ELECTRODES
3D PRINTINGS
EMG MEASUREMENTS
title_short 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
title_full 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
title_fullStr 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
title_full_unstemmed 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
title_sort 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles
dc.creator.none.fl_str_mv Ruiz Mateos Serrano, Ruben
Aguzin, Ana
Mitoudi Vagourdi, Eleni
Tao, Xudong
Naegele, Tobias E.
Jin, Amy T.
Lopez Larrea, Naroa
Picchio, Matías Luis
Alban Paccha, Marco Vinicio
Minari, Roque Javier
Mecerreyes, David
Dominguez Alfaro, Antonio
Malliaras, George G.
author Ruiz Mateos Serrano, Ruben
author_facet Ruiz Mateos Serrano, Ruben
Aguzin, Ana
Mitoudi Vagourdi, Eleni
Tao, Xudong
Naegele, Tobias E.
Jin, Amy T.
Lopez Larrea, Naroa
Picchio, Matías Luis
Alban Paccha, Marco Vinicio
Minari, Roque Javier
Mecerreyes, David
Dominguez Alfaro, Antonio
Malliaras, George G.
author_role author
author2 Aguzin, Ana
Mitoudi Vagourdi, Eleni
Tao, Xudong
Naegele, Tobias E.
Jin, Amy T.
Lopez Larrea, Naroa
Picchio, Matías Luis
Alban Paccha, Marco Vinicio
Minari, Roque Javier
Mecerreyes, David
Dominguez Alfaro, Antonio
Malliaras, George G.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv EUTECTOGELS
NOVEL ELECTRODES
3D PRINTINGS
EMG MEASUREMENTS
topic EUTECTOGELS
NOVEL ELECTRODES
3D PRINTINGS
EMG MEASUREMENTS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The proliferation of medical wearables necessitates the development of novel electrodes for cutaneous electrophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is combined with a deep eutectic solvent (DES) and polyethylene glycol diacrylate (PEGDA) to develop printable and biocompatible electrodes for long-term cutaneous electrophysiology recordings. The impact of printing parameters on the conducting properties, morphological characteristics, mechanical stability and biocompatibility of the material were investigated. The optimised eutectogel formulations were fabricated in four different patterns —flat, pyramidal, striped and wavy— to explore the influence of electrode geometry on skin conformability and mechanical contact. These electrodes were employed for impedance and forearm EMG measurements. Furthermore, arrays of twenty electrodes were embedded into a textile and used to generate body surface potential maps (BSPMs) of the forearm, where different finger movements were recorded and analysed. Finally, BSPMs for three different letters (B, I, O) in sign-language were recorded and used to train a logistic regressor classifier able to reliably identify each letter. This novel cutaneous electrode fabrication approach offers new opportunities for long-term electrophysiological recordings, online sign-language translation and brain-machine nterfaces.
Fil: Ruiz Mateos Serrano, Ruben. University of Cambridge; Reino Unido
Fil: Aguzin, Ana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mitoudi Vagourdi, Eleni. University of Cambridge; Estados Unidos
Fil: Tao, Xudong. University of Cambridge; Reino Unido
Fil: Naegele, Tobias E.. University of Cambridge; Reino Unido
Fil: Jin, Amy T.. University of Cambridge; Reino Unido
Fil: Lopez Larrea, Naroa. Universidad del País Vasco; España
Fil: Picchio, Matías Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Alban Paccha, Marco Vinicio. University of Cambridge; Estados Unidos
Fil: Minari, Roque Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Mecerreyes, David. Universidad del País Vasco; España
Fil: Dominguez Alfaro, Antonio. University of Cambridge; Reino Unido
Fil: Malliaras, George G.. University of Cambridge; Estados Unidos
description The proliferation of medical wearables necessitates the development of novel electrodes for cutaneous electrophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is combined with a deep eutectic solvent (DES) and polyethylene glycol diacrylate (PEGDA) to develop printable and biocompatible electrodes for long-term cutaneous electrophysiology recordings. The impact of printing parameters on the conducting properties, morphological characteristics, mechanical stability and biocompatibility of the material were investigated. The optimised eutectogel formulations were fabricated in four different patterns —flat, pyramidal, striped and wavy— to explore the influence of electrode geometry on skin conformability and mechanical contact. These electrodes were employed for impedance and forearm EMG measurements. Furthermore, arrays of twenty electrodes were embedded into a textile and used to generate body surface potential maps (BSPMs) of the forearm, where different finger movements were recorded and analysed. Finally, BSPMs for three different letters (B, I, O) in sign-language were recorded and used to train a logistic regressor classifier able to reliably identify each letter. This novel cutaneous electrode fabrication approach offers new opportunities for long-term electrophysiological recordings, online sign-language translation and brain-machine nterfaces.
publishDate 2024
dc.date.none.fl_str_mv 2024-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/245913
Ruiz Mateos Serrano, Ruben; Aguzin, Ana; Mitoudi Vagourdi, Eleni; Tao, Xudong; Naegele, Tobias E.; et al.; 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles; Elsevier; Biomaterials; 310; 122624; 10-2024; 1-11
0142-9612
CONICET Digital
CONICET
url http://hdl.handle.net/11336/245913
identifier_str_mv Ruiz Mateos Serrano, Ruben; Aguzin, Ana; Mitoudi Vagourdi, Eleni; Tao, Xudong; Naegele, Tobias E.; et al.; 3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles; Elsevier; Biomaterials; 310; 122624; 10-2024; 1-11
0142-9612
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0142961224001583
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biomaterials.2024.122624
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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