Graphene-based sensor for high precision body temperature measurement

Authors

Qiuyi Yan¹ , Gina Lifeng¹ , Paswan Ajay Kumar² , Sayantan Mazumdar³ , Xiating Tang¹ , Sisi Wei¹ , Xiang Yang¹ , Jie Huang¹

1. College of Nursing, Guilin Medical University, Guangxi, China
2. International Education College of Guilin Medical University, Guangxi, China
3. Guangdong Technion Israel Institute of Technology

Conference / event

The International Council of Nurses Congress 2023, July 2023 (Montreal, Canada)

Poster summary

Our team is committed to developing a portable intelligent warning device that can accurately detect vital signs such as core body temperature and inflammatory factors.Quantum measurement technology based on microscopic world,use graphene material outstanding conductance, thermal conductance performance,Mobile phones are connected to realize remote dynamic real-time monitoring and big data analysis.Gradually establish a whole life cycle health and medical records based on big data,Form a smart service system of "Internet technology + cloud platform + nursing + execution + big data".To provide more accurate, safe, efficient and portable solutions for community detection and screening, early prevention and clinical diagnosis and treatment of diseases, and to provide scientific and effective help for global anti-epidemic work.

Keywords

Accurate core temperature detection, Digital health and artificial intelligence (AI), Portable intelligent epidemic alarm device

Research areas

Material Sciences, Medicine, Computer and Information Science , Molecular and Cellular Biosciences, Nanoengineering

References

1. H. Liu et al. ACS Nano 2022, 16, 12, 21527-21535.
2. B. V. Senkovskiy et al. Nat Commun 2021, 12, 2542.
3. Y. Yang et al. Nanomaterials 2019, 9, 850.
4. P. Yunjie et al. Chinese Journal of Lasers, 2017, 44, 104-119.5.D. Chrétien, et al. PLOS Biology, 2018, 16. e2003992.

Funding

No data provided

Supplemental files

1. Introduction   Download

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

Creative Commons license

Copyright © 2023 Yan et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.