Graphene-based wearable sensors
Abstract
Based on the good characteristics of graphene, many physiological signals can be detected by graphene sensors covering the human body. Graphene wearable sensors have great potential in healthcare and telemedicine.
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Bioimpedance-based wearable sensors offer non-invasive monitoring of physiological parameters like hydration, body composition, and respiratory function.
“Furthermore, bioimpedance-based wearable sensors offer non-invasive monitoring of physiological parameters, like hydration, body composition, and respiratory function [183,184].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [183]
With AI and ML algorithms, wearable devices provide users with personalized health recommendations, early detection of potential issues, and even life-saving interventions.
“With cutting-edge AI and ML algorithms, these devices provide users with personalized health recommendations, early detection of potential issues, and even life-saving interventions [177,183,184,229,230,231].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [183]
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The emergence of AI-based wearable sensors for digital health technology: a review
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- Authors
- Qiao, Y., Li, X., Hirtz, T., Deng, G., Wei, Y., Li, M., Ji, S., Wu, Q., Jian, J., Wu, F., Shen, Y., Tian, H., Yang, Y., & Ren, T.-L.
- Affiliations
- Institute of Microelectronics (CN)
- Corresponding author
- Tian, He
- Yang, Yi
- Ren, Tian-Ling
- ORCID
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2019
- Volume
- 11
- Issue
- 41
- Pages
- 18923-18945
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2970466997
- Semantic Scholar
- b83b6cecc541f42cbf415c0134bc6d1a37c10985
- Cited by
- 158
- References
- 196
- Citations by year
- 2026: 13 · 2025: 21 · 2024: 32 · 2023: 27 · 2022: 26 · 2021: 19 · 2020: 19 · 2019: 1
- FWCI
- 1.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nanoscale (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Basic Research Program of China (2016YFA0200400, 2018YFC2001202, 2015CB352101)
- National Natural Science Foundation of China (61434001, 61574083, 61874065, 51861145202)
- Tsinghua University
- Beijing Innovation Center for Future Chip
- Natural Science Foundation of Beijing Municipality (4184091)
- Science and Technology Planning Project of Shenzhen Municipality (JCYJ20150831192224146)
- China Association for Science and Technology (2018QNRC001)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Materials Science › Materials Chemistry › Graphene research and applications
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrochemical sensors and biosensors
- Keywords
- graphene, wearable sensors, physiological signals, graphene synthesis, graphene patterning, flexible electronics, biocompatibility, mechanical sensing, gas sensing, fluid sensing, telemedicine, health monitoring
- MeSH terms
- Wearable Electronic Devices, Body Fluids, Electroencephalography, Electromyography, Gases, Graphite, Humans, Lasers, Movement, Plasma Gases
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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.
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