Flexible Wearable Strain Sensors Based on Laser-Induced Graphene for Monitoring Human Physiological Signals

Author:

Zou Yao1,Zhong Mian12ORCID,Li Shichen1,Qing Zehao1,Xing Xiaoqing1,Gong Guochong3,Yan Ran3,Qin Wenfeng3,Shen Jiaqing1,Zhang Huazhong1,Jiang Yong4,Wang Zhenhua5,Zhou Chao12

Affiliation:

1. Institute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China

2. Institute of Civil Aviation Intelligent Sensing and Advanced Detection Technology, Civil Aviation Flight University of China, Deyang 618307, China

3. College of Aviation Engineering, Civil Aviation Flight University of China, Deyang 618307, China

4. School of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China

5. Institute of Electronic and Electrical Engineering, Northwestern Polytechnical University, Xi’an 710129, China

Abstract

Flexible wearable strain sensors based on laser-induced graphene (LIG) have attracted significant interest due to their simple preparation process, three-dimensional porous structure, excellent electromechanical characteristics, and remarkable mechanical robustness. In this study, we demonstrated that LIG with various defects could be prepared on the surface of polyimide (PI) film, patterned in a single step by adjusting the scanning speed while maintaining a constant laser power of 12.4 W, and subjected to two repeated scans under ambient air conditions. The results indicated that LIG produced at a scanning speed of 70 mm/s exhibited an obvious stacked honeycomb micropore structure, and the flexible strain sensor fabricated with this material demonstrated stable resistance. The sensor exhibited high sensitivity within a low strain range of 0.4–8.0%, with the gauge factor (GF) reaching 107.8. The sensor demonstrated excellent stability and repeatable response at a strain of 2% after approximately 1000 repetitions. The flexible wearable LIG-based sensor with a serpentine bending structure could be used to detect various physiological signals, including pulse, finger bending, back of the hand relaxation and gripping, blinking eyes, smiling, drinking water, and speaking. The results of this study may serve as a reference for future applications in health monitoring, medical rehabilitation, and human–computer interactions.

Funder

General Project of Sichuan General Aircraft Maintenance Engineering and Technology Research Center

National Key R&D program of the Ministry of Science and Technology of China

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Polymers and Plastics,General Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3