Literature DB >> 30465422

Multifunctional Mechanical Sensors for Versatile Physiological Signal Detection.

Yu Pang, Zhen Yang, Xiaolin Han, Jinming Jian, Yuxing Li, Xuefeng Wang, Yancong Qiao, Yi Yang, Tian-Ling Ren.   

Abstract

Recently, flexible and wearable mechanical sensors have attracted great attention because of their potential applications in monitoring various physiological signals. However, conventional mechanical sensors rarely have both pressure and strain sensing abilities that can meet the demands of both subtle and large human motion detection. Besides, the mechanical sensors with tunable sensitivity or measuring range are also essential for their practical applications. Herein, the graphene ink dip-coating method with merits of time saving, low cost, and large scale was used to fabricate the foam-structured graphene sensors with both pressure and strain sensing performance. Because of high elasticity of styrene butadiene rubber (SBR) substrates and stacked graphene flakes, the tunable mechanical sensors exhibit a high gauge factor (GF) and large measuring range for specific human motion detection. The pressure sensor shows a GF of 2.02 kPa-1 with a pressure range up to 172 kPa, and the strain sensor displays a GF of 250 with a strain range up to 86%. On the one hand, various detections of subtle vital signals with small strain change were demonstrated by the pressure sensor because of its flexibility and high sensitivity. On another hand, the strain sensor with large strain change shows excellent ability to detect various large human motions including the bending of neck, finger, wrist, and knee. Interestingly, both the pressure sensor and strain sensor exhibit great capability for recognizing 26 letters written by hand. The working mechanism based on the contact area variation was also investigated by the morphology evolution and resistance model. We suppose that the foam-structured graphene mechanical sensors would be promising in wearable electronics for human healthcare and activity monitoring in the future.

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Keywords:  foam structure; graphene; physiological signals; pressure sensor; strain sensor

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Year:  2018        PMID: 30465422     DOI: 10.1021/acsami.8b16237

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

1.  Flexible and Wearable PDMS-Based Triboelectric Nanogenerator for Self-Powered Tactile Sensing.

Authors:  Jie Wang; Shuo Qian; Junbin Yu; Qiang Zhang; Zhongyun Yuan; Shengbo Sang; Xiaohong Zhou; Lining Sun
Journal:  Nanomaterials (Basel)       Date:  2019-09-12       Impact factor: 5.076

  1 in total

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