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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
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
Self-citationRecent Advances in Flexible and Stretchable Bio‐Electronic Devices Integrated with Nanomaterials
Choi, S., Lee, H., Ghaffari, R., Hyeon, T., & Kim, D. (2016) · Advanced Materials · doi:10.1002/adma.201504150 · Cited by 1,104
Self-citationOrganic Nonvolatile Memory Transistors for Flexible Sensor Arrays
Sekitani, T., Yokota, T., Zschieschang, U., Klauk, H., Bauer, S., Takeuchi, K., Takamiya, M., Sakurai, T., & Someya, T. (2009) · Science · doi:10.1126/science.1179963 · Cited by 962
Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics
Kim, J., Kim, M., Lee, M.-S., Kim, K., Ji, S., Kim, Y.-T., Park, J., Na, K., Bae, K.-H., Kyun Kim, H., et al. (2017) · Nature Communications · doi:10.1038/ncomms14997 · Cited by 951
Self-citationImani, S., Bandodkar, A. J., Mohan, A. M. V., Kumar, R., Yu, S., Wang, J., & Mercier, P. P. (2016) · Nature Communications · doi:10.1038/ncomms11650 · Cited by 861
Enzyme‐Based Glucose Sensor: From Invasive to Wearable Device
Lee, H., Hong, Y. J., Baik, S., Hyeon, T., & Kim, D. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701150 · Cited by 778
Self-citationSonner, Z., Wilder, E., Heikenfeld, J., Kasting, G., Beyette, F., Swaile, D., Sherman, F., Joyce, J., Hagen, J., Kelley-Loughnane, N., et al. (2015) · Biomicrofluidics · doi:10.1063/1.4921039 · Cited by 724
Nishime, E. O. (2000) · JAMA · doi:10.1001/jama.284.11.1392 · Cited by 710
Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays
Park, J., Kim, J., Kim, S.-Y., Cheong, W. H., Jang, J., Park, Y.-G., Na, K., Kim, Y.-T., Heo, J. H., Lee, C. Y., et al. (2018) · Science Advances · doi:10.1126/sciadv.aap9841 · Cited by 671
Self-citationA Wearable Electrochemical Platform for Noninvasive Simultaneous Monitoring of Ca2+ and pH
Nyein, H. Y. Y., Gao, W., Shahpar, Z., Emaminejad, S., Challa, S., Chen, K., Fahad, H. M., Tai, L.-C., Ota, H., Davis, R. W., et al. (2016) · ACS Nano · doi:10.1021/acsnano.6b04005 · Cited by 669
Correlation Between Sweat Glucose and Blood Glucose in Subjects with Diabetes
Moyer, J., Wilson, D., Finkelshtein, I., Wong, B., & Potts, R. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0262 · Cited by 570
Chen, L. Y., Tee, B. C. K., Chortos, A., Schwartz, G., Tse, V., Lipomi, D. J., Wong, H. ‐. P., McConnell, M. V., & Bao, Z. (2014) · Nature Communications · doi:10.1038/ncomms6028 · Cited by 541
Skin-like biosensor system via electrochemical channels for noninvasive blood glucose monitoring
Chen, Y., Lu, S., Zhang, S., Li, Y., Qu, Z., Chen, Y., Lu, B., Wang, X., & Feng, X. (2017) · Science Advances · doi:10.1126/sciadv.1701629 · Cited by 470
Contact Lens Sensors in Ocular Diagnostics
Farandos, N. M., Yetisen, A. K., Monteiro, M. J., Lowe, C. R., & Yun, S. H. (2015) · Advanced Healthcare Materials · doi:10.1002/adhm.201400504 · Cited by 466
Abellán-Llobregat, A., Jeerapan, I., Bandodkar, A., Vidal, L., Canals, A., Wang, J., & Morallón, E. (2017) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2017.01.058 · Cited by 348
Choi, J., Kang, D., Han, S., Kim, S. B., & Rogers, J. A. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201601355 · Cited by 318
Jensen, M. T., Suadicani, P., Hein, H. O., & Gyntelberg, F. (2013) · Heart · doi:10.1136/heartjnl-2012-303375 · Cited by 297
Non‐invasive Analyte Access and Sensing through Eccrine Sweat: Challenges and Outlook circa 2016
Heikenfeld, J. (2016) · Electroanalysis · doi:10.1002/elan.201600018 · Cited by 294
Wearable Wireless Tyrosinase Bandage and Microneedle Sensors: Toward Melanoma Screening
Ciui, B., Martín, A., Mishra, R. K., Brunetti, B., Nakagawa, T., Dawkins, T. J., Lyu, M., Cristea, C., Săndulescu, R., & Wang, J. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201701264 · Cited by 263
Electromechanical cardioplasty using a wrapped elasto-conductive epicardial mesh
Park, J., Choi, S., Janardhan, A. H., Lee, S.-Y., Raut, S. S., Soares, J., Shin, K., Yang, S., Lee, C., Kang, K., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad8568 · Cited by 253
Self-citationCan continuous glucose monitoring be used for the treatment of diabetes?
Reach, G., & Wilson, G. S. (1992) · Analytical Chemistry · doi:10.1021/ac00030a001 · Cited by 239
Soft Thermal Sensor with Mechanical Adaptability
Yang, H., Qi, D., Liu, Z., Chandran, B. K., Wang, T., Yu, J., & Chen, X. (2016) · Advanced Materials · doi:10.1002/adma.201602994 · Cited by 227
Guelfi, K. J., Jones, T. W., & Fournier, P. A. (2005) · Diabetes Care · doi:10.2337/diacare.28.6.1289 · Cited by 221
Lee, H., Lee, Y., Song, C., Cho, H. R., Ghaffari, R., Choi, T. K., Kim, K. H., Lee, Y. B., Ling, D., Lee, H., et al. (2015) · Nature Communications · doi:10.1038/ncomms10059 · Cited by 191
Self-citationCheng, Y. J., Lauer, M. S., Earnest, C. P., Church, T. S., Kampert, J. B., Gibbons, L. W., & Blair, S. N. (2003) · Diabetes Care · doi:10.2337/diacare.26.7.2052 · Cited by 189
Wearable Force Touch Sensor Array Using a Flexible and Transparent Electrode
Song, J., Son, D., Kim, J., Yoo, Y. J., Lee, G. J., Wang, L., Choi, M. K., Yang, J., Lee, M., Do, K., et al. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201605286 · Cited by 187
Self-citationChoi, M. K., Park, I., Kim, D. C., Joh, E., Park, O. K., Kim, J., Kim, M., Choi, C., Yang, J., Cho, K. W., et al. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201502956 · Cited by 186
Self-citationA wearable multiplexed silicon nonvolatile memory array using nanocrystal charge confinement
Kim, J., Son, D., Lee, M., Song, C., Song, J.-K., Koo, J. H., Lee, D. J., Shim, H. J., Kim, J. H., Lee, M., et al. (2016) · Science Advances · doi:10.1126/sciadv.1501101 · Cited by 164
Self-citationHong, S., Lee, J., Do, K., Lee, M., Kim, J. H., Lee, S., & Kim, D. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201704353 · Cited by 161
Self-citationChoi, J., Xue, Y., Xia, W. J., Ray, T. R., Reeder, J. T., Bandodkar, A. J., Kang, D., Xu, S., Huang, Y. Y., & Rogers, J. A. (2017) · Lab on a Chip · doi:10.1039/c7lc00525c · Cited by 149
The quest for miniaturized soft bioelectronic devices
Kim, J., Ghaffari, R., & Kim, D. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0049 · Cited by 132
Self-citationWearable Sensing Systems with Mechanically Soft Assemblies of Nanoscale Materials
Lee, Y., Kim, J., Joo, H., Raj, M. S., Ghaffari, R., & Kim, D. (2017) · Advanced Materials Technologies · doi:10.1002/admt.201700053 · Cited by 116
Self-citationChoudhary, T., Rajamanickam, G. P., & Dendukuri, D. (2015) · Lab on a Chip · doi:10.1039/c5lc00041f · Cited by 99
Nanomaterials for bioelectronics and integrated medical systems
Lee, Y., Kim, J., Koo, J. H., Kim, T., & Kim, D. (2017) · Korean Journal of Chemical Engineering · doi:10.1007/s11814-017-0236-5 · Cited by 72
Self-citationExercise Strategies for Hypoglycemia Prevention in Individuals With Type 1 Diabetes
Yardley, J. E., & Sigal, R. J. (2015) · Diabetes Spectrum · doi:10.2337/diaspect.28.1.32 · Cited by 68
Exercise, Hypoglycemia, and Type 1 Diabetes
Basu, R., Johnson, M. L., Kudva, Y. C., & Basu, A. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0097 · Cited by 60
A comparison of energy expenditure during rowing and cycling ergometry
Hagerman, F. C., LAWRENCE, R. A., & MANSFIELD, M. C. (1988) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-198810000-00009 · Cited by 49
The accuracy of the ACSM cycle ergometry equation
Lang, P., Latin, R. W., Berg, K. E., & Mellion, M. B. (1992) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199202000-00019 · Cited by 44
The effect of rope skipping rate on energy expenditure of males and females
TOWN, G. P., Sol, N., & Sinning, W. E. (1980) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-198024000-00012 · Cited by 39
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
Kim, E. K., Kwak, S. H., Baek, S., Lee, S. L., Jang, H. C., Park, K. S., & Cho, Y. M. (2016) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2016.40.3.192 · Cited by 35
Managing diabetes through the skin
Guy, R. H. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.53 · Cited by 30
The energy cost of rope skipping.
Jetté, M., Mongeon, J., & Routhier, R. (1979) · PubMed · Cited by 23
Uemura, M., Yano, Y., Suzuki, T., Yasuma, T., Sato, T., Morimoto, A., Hosoya, S., Suminaka, C., Nakajima, H., Gabazza, E. C., et al. (2017) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2017.41.4.265 · Cited by 7
Flagged first, then by citations
Research works printed but not linked: 2
- Choi S., 2018, Nat. Nanotechnol.
- Jette M., 1979, J. Sports Med. Phys. Fitness, 19, 33
Cited by
Sorted by citations
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
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
