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...
| Autores: | , , , , , , , , , , , , , , , , , |
|---|---|
| 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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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 Sí |
| 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 |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869417299188908032 |
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15,81155 |