The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
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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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
Schwartz, G., Tee, B. C.-K., Mei, J., Appleton, A. L., Kim, D. H., Wang, H., & Bao, Z. (2013) · Nature Communications · doi:10.1038/ncomms2832 · Cited by 2,042
Self-citationHeart-rate Recovery Immediately After Exercise as a Predictor of Mortality
Cole, C. R., Blackstone, E. H., Pashkow, F. J., Snader, C. E., & Lauer, M. S. (1999) · New England Journal of Medicine · doi:10.1056/nejm199910283411804 · Cited by 1,935
Lee, H., Choi, T. K., Lee, Y. B., Cho, H. R., Ghaffari, R., Wang, L., Choi, H. J., Chung, T. D., Lu, N., Hyeon, T., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.38 · Cited by 1,802
Self-citationBariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
Multifunctional wearable devices for diagnosis and therapy of movement disorders
Son, D., Lee, J., Qiao, S., Ghaffari, R., Kim, J., Lee, J. E., Song, C., Kim, S. J., Lee, D. J., Jun, S. W., et al. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.38 · Cited by 1,462
Self-citationAchten, J., & Jeukendrup, A. E. (2003) · Sports Medicine · doi:10.2165/00007256-200333070-00004 · Cited by 1,286
Flexible organic transistors and circuits with extreme bending stability
Sekitani, T., Zschieschang, U., Klauk, H., & Someya, T. (2010) · Nature Materials · doi:10.1038/nmat2896 · Cited by 1,253
Lee, H., Song, C., Hong, Y. S., Kim, M., Cho, H. R., Kang, T., Shin, K., Choi, S. H., Hyeon, T., & Kim, D.-H. (2017) · Science Advances · doi:10.1126/sciadv.1601314 · Cited by 1,118
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Research works printed but not linked: 2
- Choi S., 2018, Nat. Nanotechnol.
- Jette M., 1979, J. Sports Med. Phys. Fitness, 19, 33
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Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Wearable and flexible electrochemical sensors for sweat analysis: a review
Gao, F., Liu, C., Zhang, L., Liu, T., Wang, Z., Song, Z., Cai, H., Fang, Z., Chen, J., Wang, J., et al. (2022) · Microsystems & Nanoengineering · doi:10.1038/s41378-022-00443-6 · Cited by 854
Skin-Interfaced Wearable Sweat Sensors for Precision Medicine
Min, J., Tu, J., Xu, C., Lukas, H., Shin, S., Yang, Y., Solomon, S. A., Mukasa, D., & Gao, W. F. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00823 · Cited by 752
An epidermal patch for the simultaneous monitoring of haemodynamic and metabolic biomarkers
Sempionatto, J. R., Lin, M., Yin, L., De la paz, E., Pei, K., Sonsa-ard, T., de Loyola Silva, A. N., Khorshed, A. A., Zhang, F., Tostado, N., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00685-1 · Cited by 658
Hong, Y. J., Jeong, H., Cho, K. W., Lu, N., & Kim, D. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201808247 · Cited by 559
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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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