Advanced Materials for Health Monitoring with Skin‐Based Wearable Devices
Abstract
Skin‐based wearable devices have a great potential that could result in a revolutionary approach to health monitoring and diagnosing disease. With continued innovation and intensive attention to the materials and fabrication technologies, development of these healthcare devices is progressively encouraged. This article gives a concise, although admittedly non‐exhaustive, didactic review of some of the main concepts and approaches related to recent advances and developments in the scope of skin‐based wearable devices (e.g. temperature, strain, biomarker‐analysis werable devices, etc.), with an emphasis on emerging materials and fabrication techniques in the relevant fields. To give a comprehensive statement, part of the review presents and discusses different aspects of these advanced materials, such as the sensitivity, biocompatibility and durability as well as the major approaches proposed for enhancing their chemical and physical properties. A complementary section of the review linking these advanced materials with wearable device technologies is particularly specified. Some of the strong and weak points in development of each wearable material/device are highlighted and criticized. Several ideas regarding further improvement of skin‐based wearable devices are also discussed.
Integrity signals
Registry
Cites
Statistics
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?
Wearable temperature monitoring requires good flexibility, fast response, wide sensing range (25-50 °C) and high sensitivity (down to ±0.1 °C in 37-39 °C and ±0.2 °C for below 37 °C and above 39 °C).
“Wearable temperature monitoring requires good flexibility, fast response, wide sensing range (25-50 °C) and high sensitivity (down to ±0.1 °C in the temperature range of 37-39 °C and ±0.2 °C for below 37 °C and above 39 °C).[6,73,74]”
From Nanomaterial-Enabled Wearable Sensors for Healthcare (2018) · cites this paper as [74]
The citation lists haven’t been fetched yet
References 195 · Cited by 317
- Authors
- Jin, H., Abu‐Raya, Y. S., & Haick, H.
- Affiliations
- Ningbo University (CN)
- Department of Chemical Engineering and The Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa 3200003 Israel
- Technion – Israel Institute of Technology (IL)
- Corresponding author
- Jin, Han
- Haick, Hossam
- Venue
- Advanced Healthcare Materials
- Publisher
- Wiley
- Published
- 2017-03-29
- Volume
- 6
- Issue
- 11
- ISSN
- 2192-2640 (ISSN-L)
- 2192-2659
- OpenAlex
- W2602725524
- Cited by
- 317
- References
- 195
- Citations by year
- 2026: 18 · 2025: 35 · 2024: 37 · 2023: 37 · 2022: 42 · 2021: 37 · 2020: 32 · 2019: 42 · 2018: 27 · 2017: 10
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advanced Healthcare Materials (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bill and Melinda Gates Foundation (OPP1109493)
- National Natural Science Foundation of China (61631012)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Nanomaterials and Printing Technologies
- Keywords
- health monitoring, flexible electronics, biomarker detection, temperature sensing, strain sensing, biocompatibility, material durability
- MeSH terms
- Wearable Electronic Devices, Biocompatible Materials, Humans, Monitoring, Physiologic, Skin, Biomarkers
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