Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature

Sweat secreted by the human eccrine sweat glands can provide valuable biomarker information during exercise. Real-time non-invasive biomarker recordings are therefore useful for evaluating the physiological conditions of an athlete such as their hydration status during endurance exercise. This work...

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Autores: Wang, Shu, Rovira, Meritxell, Demuru, Silvia, Lafaye, Celine, Kim, Jaemin, Kunnel, Brince Paul, Besson, Cyril, Fernández Sánchez, César, Serra-Graells, Francesc, Margarit-Taulé, Josep Maria, Aymerich, Joan, Cuenca, Javier, Kiselev, Ilya, Gremeaux, Vincent, Saubade, Mathieu, Jiménez-Jorquera, Cecilia, Briand, Danick, Liu, Shih-Chii
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/351107
Acceso en línea:http://hdl.handle.net/10261/351107
https://api.elsevier.com/content/abstract/scopus_id/85162709395
Access Level:acceso abierto
Palabra clave:core body temperature prediction | ISFET sensors | machine learning | printed sensors | Sweat biomonitoring platform | sweat wearable patch
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spelling Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body TemperatureWang, ShuRovira, MeritxellDemuru, SilviaLafaye, CelineKim, JaeminKunnel, Brince PaulBesson, CyrilFernández Sánchez, CésarSerra-Graells, FrancescMargarit-Taulé, Josep MariaAymerich, JoanCuenca, JavierKiselev, IlyaGremeaux, VincentSaubade, MathieuJiménez-Jorquera, CeciliaBriand, DanickLiu, Shih-Chiicore body temperature prediction | ISFET sensors | machine learning | printed sensors | Sweat biomonitoring platform | sweat wearable patchSweat secreted by the human eccrine sweat glands can provide valuable biomarker information during exercise. Real-time non-invasive biomarker recordings are therefore useful for evaluating the physiological conditions of an athlete such as their hydration status during endurance exercise. This work describes a wearable sweat biomonitoring patch incorporating printed electrochemical sensors into a plastic microfluidic sweat collector and data analysis that shows the real-time recorded sweat biomarkers can be used to predict a physiological biomarker. The system was placed on subjects carrying out an hour-long exercise session and results were compared to a wearable system using potentiometric robust silicon-based sensors and to commercially available HORIBA-LAQUAtwin devices. Both prototypes were applied to the real-time monitoring of sweat during cycling sessions and showed stable readings for around an hour. Analysis of the sweat biomarkers collected from the printed patch prototype shows that their real-time measurements correlate well (correlation coefficient ≥ 0.65) with other physiological biomarkers such as heart rate and regional sweat rate collected in the same session. We show for the first time, that the real-time sweat sodium and potassium concentration biomarker measurements from the printed sensors can be used to predict the core body temperature with root mean square error (RMSE) of 0.02 °C which is 71% lower compared to the use of only the physiological biomarkers. These results show that these wearable patch technologies are promising for real-time portable sweat monitoring analytical platforms, especially for athletes performing endurance exercise.Peer reviewedInstitute of Electrical and Electronics EngineersSwiss National Science Foundation0000-0001-5054-52180000-0002-0460-15620000-0001-9898-22650000-0002-0238-34850000-0003-2779-92810000-0002-7274-19110000-0003-4477-035X0000-0001-7949-60690000-0001-5112-51780000-0002-5055-43140000-0003-2381-00330000-0003-2628-01700000-0002-7557-045XConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/351107https://api.elsevier.com/content/abstract/scopus_id/85162709395reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésIEEE transactions on biomedical circuits and systemshttps://ieeexplore.ieee.org/document/10153656Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3511072026-05-22T06:33:51Z
dc.title.none.fl_str_mv Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
title Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
spellingShingle Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
Wang, Shu
core body temperature prediction | ISFET sensors | machine learning | printed sensors | Sweat biomonitoring platform | sweat wearable patch
title_short Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
title_full Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
title_fullStr Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
title_full_unstemmed Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
title_sort Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature
dc.creator.none.fl_str_mv Wang, Shu
Rovira, Meritxell
Demuru, Silvia
Lafaye, Celine
Kim, Jaemin
Kunnel, Brince Paul
Besson, Cyril
Fernández Sánchez, César
Serra-Graells, Francesc
Margarit-Taulé, Josep Maria
Aymerich, Joan
Cuenca, Javier
Kiselev, Ilya
Gremeaux, Vincent
Saubade, Mathieu
Jiménez-Jorquera, Cecilia
Briand, Danick
Liu, Shih-Chii
author Wang, Shu
author_facet Wang, Shu
Rovira, Meritxell
Demuru, Silvia
Lafaye, Celine
Kim, Jaemin
Kunnel, Brince Paul
Besson, Cyril
Fernández Sánchez, César
Serra-Graells, Francesc
Margarit-Taulé, Josep Maria
Aymerich, Joan
Cuenca, Javier
Kiselev, Ilya
Gremeaux, Vincent
Saubade, Mathieu
Jiménez-Jorquera, Cecilia
Briand, Danick
Liu, Shih-Chii
author_role author
author2 Rovira, Meritxell
Demuru, Silvia
Lafaye, Celine
Kim, Jaemin
Kunnel, Brince Paul
Besson, Cyril
Fernández Sánchez, César
Serra-Graells, Francesc
Margarit-Taulé, Josep Maria
Aymerich, Joan
Cuenca, Javier
Kiselev, Ilya
Gremeaux, Vincent
Saubade, Mathieu
Jiménez-Jorquera, Cecilia
Briand, Danick
Liu, Shih-Chii
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Swiss National Science Foundation
0000-0001-5054-5218
0000-0002-0460-1562
0000-0001-9898-2265
0000-0002-0238-3485
0000-0003-2779-9281
0000-0002-7274-1911
0000-0003-4477-035X
0000-0001-7949-6069
0000-0001-5112-5178
0000-0002-5055-4314
0000-0003-2381-0033
0000-0003-2628-0170
0000-0002-7557-045X
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv core body temperature prediction | ISFET sensors | machine learning | printed sensors | Sweat biomonitoring platform | sweat wearable patch
topic core body temperature prediction | ISFET sensors | machine learning | printed sensors | Sweat biomonitoring platform | sweat wearable patch
description Sweat secreted by the human eccrine sweat glands can provide valuable biomarker information during exercise. Real-time non-invasive biomarker recordings are therefore useful for evaluating the physiological conditions of an athlete such as their hydration status during endurance exercise. This work describes a wearable sweat biomonitoring patch incorporating printed electrochemical sensors into a plastic microfluidic sweat collector and data analysis that shows the real-time recorded sweat biomarkers can be used to predict a physiological biomarker. The system was placed on subjects carrying out an hour-long exercise session and results were compared to a wearable system using potentiometric robust silicon-based sensors and to commercially available HORIBA-LAQUAtwin devices. Both prototypes were applied to the real-time monitoring of sweat during cycling sessions and showed stable readings for around an hour. Analysis of the sweat biomarkers collected from the printed patch prototype shows that their real-time measurements correlate well (correlation coefficient ≥ 0.65) with other physiological biomarkers such as heart rate and regional sweat rate collected in the same session. We show for the first time, that the real-time sweat sodium and potassium concentration biomarker measurements from the printed sensors can be used to predict the core body temperature with root mean square error (RMSE) of 0.02 °C which is 71% lower compared to the use of only the physiological biomarkers. These results show that these wearable patch technologies are promising for real-time portable sweat monitoring analytical platforms, especially for athletes performing endurance exercise.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/351107
https://api.elsevier.com/content/abstract/scopus_id/85162709395
url http://hdl.handle.net/10261/351107
https://api.elsevier.com/content/abstract/scopus_id/85162709395
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE transactions on biomedical circuits and systems
https://ieeexplore.ieee.org/document/10153656

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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