The DOI matches its Crossref record; 206 of the 206 references it cites were found in a registry or an index.
Engineering Smart Composite Hydrogels for Wearable Disease Monitoring
Open accessAbstract
Growing health awareness triggers the public’s concern about health problems. People want a timely and comprehensive picture of their condition without frequent trips to the hospital for costly and cumbersome general check-ups. The wearable technique provides a continuous measurement method for health monitoring by tracking a person’s physiological data and analyzing it locally or remotely. During the health monitoring process, different kinds of sensors convert physiological signals into electrical or optical signals that can be recorded and transmitted, consequently playing a crucial role in wearable techniques. Wearable application scenarios usually require sensors to possess excellent flexibility and stretchability. Thus, designing flexible and stretchable sensors with reliable performance is the key to wearable technology. Smart composite hydrogels, which have tunable electrical properties, mechanical properties, biocompatibility, and multi-stimulus sensitivity, are one of the best sensitive materials for wearable health monitoring. This review summarizes the common synthetic and performance optimization strategies of smart composite hydrogels and focuses on the current application of smart composite hydrogels in the field of wearable health monitoring.
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Cites
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Cited by
Age of Flexible Electronics: Emerging Trends in Soft Multifunctional Sensors
Lee, J., Cho, K., & Kim, J. (2024) · Advanced Materials · doi:10.1002/adma.202310505 · Cited by 355
Functionalized Hydrogel-Based Wearable Gas and Humidity Sensors.
Luo, Y., Li, J., Ding, Q., Wang, H., Liu, C., & Wu, J. (2023) · Nano-Micro Letters · doi:10.1007/s40820-023-01109-2 · Cited by 236
Self-citation
Metadata
- Authors
- Li, J., Ding, Q., Wang, H., Wu, Z., Gui, X., Li, C., Hu, N., Tao, K., & Wu, J.
- Venue
- Nano-Micro Letters
- Published
- 2023-04-15
- Volume
- 15
- Issue
- 1
- Pages
- 105-105
- ISSN
- 2150-5551 (ISSN-L)
- 2311-6706
- OpenAlex
- W4365811158
- Cited by
- 304
- References
- 206
- FWCI
- 22.30
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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