Cited by 349Advanced Sensor and Energy Harvesting MaterialsHydrogels: synthesis, properties, applicationsAdvanced Materials and Mechanics

A flexible, adhesive and self-healable hydrogel-based wearable strain sensor for human motion and physiological signal monitoring

Xia, Shan, Song, Shixin, Jia, Fei, Gao, Guanghui·2019·Journal of Materials Chemistry B

Abstract

The advent of hydrogel-based strain sensors has attracted immense research interest in artificial intelligence, wearable devices, and health-monitoring systems. However, the integration of the synergistic characteristics of good mechanical properties, self-adhesiveness, self-healing capability and high strain sensitivity for fabricating hydrogel-based strain sensors is still a challenge. Here, a multifunctional conductive hydrogel composed of a polyacrylamide (PAAm)/chitosan (CS) hybrid network is fabricated for wearable strain sensors. The PAAm network is cross-linked by hydrophobic associations, and the CS network is ionically cross-linked by carboxyl-functionalized multi-walled carbon nanotubes (c-MWCNTs). These two networks are further interlocked by physical entanglement and hydrogen bond interactions. The obtained hydrogels exhibit excellent flexibility, puncture resistance and self-healing capability because of the efficient energy dissipation of the dynamic cross-linking network. Moreover, the hydrogels exhibit self-adhesive behavior on various materials, including polytetrafluoroethylene, wood, glass, aluminum, rubber and skin. Notably, the hydrogels can be applied as soft human-motion sensors for real-time and accurate detection of both large-scale and small human activities, including joint motions, speaking, breathing, and even subtle blood pulsation. Therefore, it is anticipated that the flexible, self-adhesive, self-healing and conductive hydrogel-based strain sensor will have promising applications in artificial intelligence, soft robots, biomimetic prostheses, and personal health care.

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Crossref · 10.1039/c9tb01039d

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  • 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
Xia, S., Song, S., Jia, F., & Gao, G.
Affiliations
Advanced Institute of Materials Science (JP)
Corresponding author
  • Jia, Fei
  • Gao, Guanghui
Venue
Journal of Materials Chemistry B
Published
2019
Volume
7
Issue
30
Pages
4638-4648
ISSN
  • 2050-750X (ISSN-L)
  • 2050-7518
OpenAlex
W2955424780
Cited by
349
References
40
Citations by year
2026: 30 · 2025: 47 · 2024: 62 · 2023: 59 · 2022: 57 · 2021: 52 · 2020: 37 · 2019: 5
FWCI
13.29
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Materials Chemistry B (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (51703012, 51873024)
  • Department of Science and Technology of Jilin Province (20180101207JC, 20180201021G)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Hydrogels: synthesis, properties, applications
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
Keywords
conductive hydrogels, wearable strain sensors, self-healing hydrogels, self-adhesion, polyacrylamide, chitosan, multi-walled carbon nanotubes, hydrophobic association, human motion monitoring, physiological monitoring, soft robotics
MeSH terms
Wearable Electronic Devices, Polyacrylamides, Acrylic Resins, Humans, Hydrogen Bonding, Monitoring, Physiologic, Motion, Sprains and Strains, Hydrogels, Chitosan

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