Graphene-based sensor for high precision body temperature measurement

作者

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

会议/活动

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

海报摘要

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.

关键词

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

研究领域

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

参考文献

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.

基金

暂无数据

补充材料

1. Introduction   Download

附加信息

利益冲突

No competing interests were disclosed.

数据可用性声明

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

知识共享许可协议

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.