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Multifunctional Wearable System that Integrates Sweat‐Based Sensing and Vital‐Sign Monitoring to Estimate Pre‐/Post‐Exercise Glucose Levels
Abstract
Wearable bioelectronic technologies have made significant progresses in personalized health management through non‐invasive monitoring of health indicators. However, current wearable systems cannot measure biochemical information and physiological signals simultaneously, which limits integrated data analysis and their widespread clinical applications. Here, an integrated multifunctional wearable health management system composed of a disposable sweat‐based glucose sensing strip and a wearable smart band is reported. The integrated system with control software electrochemically analyzes sweat glucose levels and continuously monitors vital signs (i.e., heart rate, blood oxygen saturation level, and physical activity). Different sweat collecting sites and sweat generation methods are tested in short‐ and long‐term studies with multiple human subjects by using the developed wearable system, leading to optimized protocols for health monitoring. By combining sweat glucose data and physiological monitoring data, pre‐ and post‐exercise blood glucose levels and blood glucose changes resulting from physical activities are reliably estimated, providing key information for preventing hypoglycemic shock during intense exercise. The integrated wearable system offers a novel comprehensive personalized health management strategy through combined analysis of key metabolic and physiological health indicators.
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“Preliminary or small-scale correlation studies have shown promising applications for other analytes such as metabolites and certain neuroimmune biomarkers present in sweat (3, 27–29, 36), including a recent work that shows how exercise sweat glucose of three healthy subjects roughly tracks their blood glucose, making a preliminary case for semiquantitative glucose prediction (29).”
From Regional and correlative sweat analysis using high-throughput microfluidic sensing patches toward decoding sweat (2019) · cites this paper as [28]
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Self-citation
Metadata
- Authors
- Hong, Y. J., Lee, H., Kim, J., Lee, M., Choi, H. J., Hyeon, T., & Kim, D.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Kim, Dae‐Hyeong
- ORCID
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2018-10-10
- Volume
- 28
- Issue
- 47
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2895941015
- Cited by
- 229
- References
- 52
- Citations by year
- 2026: 9 · 2025: 23 · 2024: 30 · 2023: 34 · 2022: 37 · 2021: 49 · 2020: 27 · 2019: 19 · 2018: 1
- FWCI
- 9.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Functional Materials (publishedVersion)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- National Research Foundation of Korea (NRF‐2017H1A2A1043976)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Chemistry › Analytical Chemistry › Electrochemical sensors and biosensors
- Keywords
- wearable sensors, vital signs monitoring, exercise-induced hypoglycemia, blood glucose estimation, smart band, heart rate monitoring, oxygen saturation, physical activity monitoring, personalized health management, non-invasive health monitoring
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