Cited by 158Advanced Sensor and Energy Harvesting MaterialsGraphene research and applicationsElectrochemical sensors and biosensors

Graphene-based wearable sensors

Qiao, Yancong, Li, Xiaoshi, Hirtz, Thomas, Deng, Ge, Wei, Yuhong, Li, Mingrui, Ji, Shourui, Wu, Qi +6 more·2019·Nanoscale

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.

Integrity signals

Registry

Crossref · 10.1039/c9nr05532k

Cites

196 of 196 references verified0 citation errors · 0 not checkable

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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].”
  • 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].”

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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
Venue
Nanoscale
Published
2019
Volume
11
Issue
41
Pages
18923-18945
ISSN
  • 2040-3364 (ISSN-L)
  • 2040-3372
OpenAlex
W2970466997
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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