All VN-graphene architecture derived self-powered wearable sensors for ultrasensitive health monitoring
Abstract
The booming of wearable electronics has nourished the progress on developing multifunctional energy storage systems with versatile flexibility, which enable the continuous and steady power supply even under various deformed states. In this sense, the synergy of flexible energy and electronic devices to construct integrative wearable microsystems is meaningful but remains quite challenging by far. Herein, we devise an innovative supercapacitor/sensor integrative wearable device that is based upon our designed vanadium nitride-graphene (VN-G) architectures. Flexible quasi-solid-state VN-G supercapacitor with ultralight and binder-free features deliver a specific capacitance of ~ 53 F·g−1 with good cycle stability. On the other hand, VN-G derived pressure sensors fabricated throughout a spray-printing process also manifest favorably high sensitivity (40 kPa−1 at the range of 2–10 kPa), fast response time (~ 130 ms), perfect skin conformability, and outstanding stability under static and dynamic pressure conditions. In turn, their complementary unity into a self-powered wearable sensor enables the precise detection of physiological motions ranging from pulse rate to phonetic recognition, holding promise for in-practical health monitoring applications.
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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 [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].”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [184]
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The emergence of AI-based wearable sensors for digital health technology: a review
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- Authors
- Yu, L., Yi, Y., Yao, T., Song, Y., Chen, Y., Li, Q., Xia, Z., Wei, N., Tian, Z., Nie, B., Zhang, L., Liu, Z., & Sun, J.
- Affiliations
- Soochow University (CN)
- Peking University (CN)
- Corresponding author
- Liu, Zhongfan
- Sun, Jingyu
- ORCID
- Venue
- Nano Research
- Publisher
- Tsinghua University Press
- Published
- 2018-10-17
- Volume
- 12
- Issue
- 2
- Pages
- 331-338
- ISSN
- 1998-0000 (ISSN-L)
- 1998-0124
- OpenAlex
- W2897478208
- Cited by
- 84
- References
- 47
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 11 · 2023: 11 · 2022: 11 · 2021: 14 · 2020: 17 · 2019: 13
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nano Research (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Supercapacitor Materials and Fabrication
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- self-powered wearable sensors, flexible supercapacitors, quasi-solid-state supercapacitors, binder-free electrodes, pressure sensors, spray printing, health monitoring, pulse rate detection, phonetic recognition, energy storage
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