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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
Authors: Wang, Shu; Rovira, Meritxell; Demuru, Silvia; Lafaye, Céline; Kim, Jaemin; Kunnel, Brince Paul; Besson, Cyril; Fernandez-Sanchez, Cesar; Serra-Graells, Francisco; Margarit-Taulé, Josep Maria; Aymerich, Joan; Cuenca, Javier; Kiselev, Ilya; Gremeaux, Vincent; Saubade, Mathieu; Jiménez-Jorquera, Cecilia; Briand, Danick; Liu, Shih-Chii
Source: Wang, Shu; Rovira, Meritxell; Demuru, Silvia; Lafaye, Céline; Kim, Jaemin; Kunnel, Brince Paul; Besson, Cyril; Fernandez-Sanchez, Cesar; Serra-Graells, Francisco; Margarit-Taulé, Josep Maria; Aymerich, Joan; Cuenca, Javier; Kiselev, Ilya; Gremeaux, Vincent; Saubade, Mathieu; Jiménez-Jorquera, Cecilia; Briand, Danick; Liu, Shih-Chii (2023). Multisensing wearables for real-time monitoring of sweat electrolyte biomarkers during exercise and analysis on their correlation with core body temperature. IEEE Transactions on Biomedical Circuits and Systems, 17(4):808-817.
Publisher Information: Institute of Electrical and Electronics Engineers
Publication Year: 2023
Collection: University of Zurich (UZH): ZORA (Zurich Open Repository and Archive
Subject Terms: Institute of Neuroinformatics; 570 Life sciences; biology
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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1932-4545
Relation: https://www.zora.uzh.ch/id/eprint/237019/1/ZORA237019.pdf; info:pmid/37318976; urn:issn:1932-4545
DOI: 10.1109/TBCAS.2023.3286528
Availability: https://www.zora.uzh.ch/id/eprint/237019/; https://www.zora.uzh.ch/id/eprint/237019/1/ZORA237019.pdf; https://doi.org/10.1109/TBCAS.2023.3286528
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.C6FD0D36
Database: BASE