Recent Progress in Intelligent Wearable Sensors for Health Monitoring and Wound Healing Based on Biofluids
Open accessAbstract
The intelligent wearable sensors promote the transformation of the health care from a traditional hospital-centered model to a personal portable device-centered model. There is an urgent need of real-time, multi-functional, and personalized monitoring of various biochemical target substances and signals based on the intelligent wearable sensors for health monitoring, especially wound healing. Under this background, this review article first reviews the outstanding progress in the development of intelligent, wearable sensors designed for continuous, real-time analysis, and monitoring of sweat, blood, interstitial fluid, tears, wound fluid, etc. Second, this paper reports the advanced status of intelligent wound monitoring sensors designed for wound diagnosis and treatment. The paper highlights some smart sensors to monitor target analytes in various wounds. Finally, this paper makes conservative recommendations regarding future development of intelligent wearable sensors.
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The challenge in colorimetric, fluorescence and luminescence sensors is the preparation of chemical detergents that indicate the presence of analytes by changing their optical properties.
“However, the challenge is the preparation of chemical detergents that indicate the presence of the analytes by changing their optical properties [74,277,278].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [277]
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The Current State of Optical Sensors in Medical Wearables
Vavrinsky, E., Esfahani, N. E., Hausner, M., Kuzma, A., Rezo, V., Donoval, M., & Kosnacova, H. (2022) · Biosensors · doi:10.3390/bios12040217 · Cited by 103 · see citing works
- Authors
- Cheng, S., Gu, Z., Zhou, L., Hao, M., An, H., Song, K., Wu, X., Zhang, K., Zhao, Z., Dong, Y., & Wen, Y.
- Affiliations
- University of Science and Technology Beijing (CN)
- Zhengzhou University (CN)
- Yuhuangding Hospital (CN)
- Corresponding author
- Gu, Zhen
- Dong, Yaozhong
- Venue
- Frontiers in Bioengineering and Biotechnology
- Publisher
- Frontiers Media SA
- Published
- 2021-11-01
- Volume
- 9
- Pages
- 765987-765987
- ISSN
- 2296-4185 (ISSN-L)
- PMC
- PMC8591136
- OpenAlex
- W3210050273
- Cited by
- 64
- References
- 192
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 12 · 2023: 15 · 2022: 8
- FWCI
- 0.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Bioengineering and Biotechnology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Science Foundation
- National Natural Science Foundation of China (2018019, 21975019, FRF-BR-20-03B)
- University of Science and Technology Beijing (FRF-BR-20-03B)
- Fundamental Research Funds for the Central Universities (FRF-BR-20-03B, 2018019)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- wearable sensors, health monitoring, wound healing, biological fluids, sweat analysis, interstitial fluid, wound fluid, real-time monitoring, wound diagnosis, personalized healthcare, smart sensors
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 ›
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