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Open AccessArticle

A Graphene-Based Flexible Pressure Sensor with Applications to Plantar Pressure Measurement and Gait Analysis

1
Department of Biomedical Engineering, College of Electronic Information Engineering & Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding 071002, China
2
Department of Molecular, Cell and Cancer Biology University of Massachusetts Medical School, Plantation Street, Worcester, MA 01605, USA
3
College of Chemistry & Environment Science, Hebei University, Baoding 071002, China
*
Author to whom correspondence should be addressed.
Materials 2017, 10(9), 1068; https://doi.org/10.3390/ma10091068
Received: 30 July 2017 / Revised: 21 August 2017 / Accepted: 8 September 2017 / Published: 11 September 2017
(This article belongs to the Special Issue Polymeric Materials for Medical Applications)
In the present study, we propose and develop a flexible pressure sensor based on the piezoresistive effect of multilayer graphene films on polyester textile. The pressure response results from the deformation of graphene conductive network structure and the changes in resistance. Here, we show that the graphene pressure sensor can achieve a sensitivity value of 0.012 kPa 1 , the measurement range can be as high as 800 kPa, and the response time can reach to 50 ms. Subsequently, a stable in-shoe wireless plantar pressure measurement system is developed and dynamic pressure distribution is acquired in real-time. Overall, the graphene textile pressure sensor has the advantage of wide dynamic range, flexibility and comfort, which provides the high possibility for footwear evaluation, clinical gait analysis and pathological foot diagnosis. View Full-Text
Keywords: graphene; flexible textile; pressure sensor; foot plantar; gait analysis graphene; flexible textile; pressure sensor; foot plantar; gait analysis
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MDPI and ACS Style

Lou, C.; Wang, S.; Liang, T.; Pang, C.; Huang, L.; Run, M.; Liu, X. A Graphene-Based Flexible Pressure Sensor with Applications to Plantar Pressure Measurement and Gait Analysis. Materials 2017, 10, 1068.

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