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Electrical Properties of PPy-Coated Conductive Fabrics for Human Joint Motion Monitoring

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Body motion signals indicate several pathological features of the human body, and a wearable human motion monitoring system can respond to human joint motion signal in real time, thereby enabling the prevention and treatment of some diseases. Because conductive fabrics can be well integrated with the garment, they are ideal as a sensing element of wearable human motion monitoring systems. This study prepared polypyrrole conductive fabric by in situ polymerization, and the anisotropic property of the conductive fabric resistance, resistance–strain relationship, and the relationship between resistance and the human knee and elbow movements are discussed preliminarily.
Twórcy
autor
  • Key Lab of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, P R China
  • College of textiles, Donghua University, Shanghai 200237, P.R. China
autor
  • College of textiles, Donghua University, Shanghai 200237, P.R. China
autor
  • College of textiles, Donghua University, Shanghai 200237, P.R. China
autor
  • Key Lab of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, P R China
  • College of textiles, Donghua University, Shanghai 200237, P.R. China
autor
  • Key Lab of Textile Science & Technology, Ministry of Education, Donghua University, Shanghai 201620, P R China
  • College of textiles, Donghua University, Shanghai 200237, P.R. China
Bibliografia
  • [1] Dunne LE, Walsh P, Smyth B, Caulfield B. Design and evaluation of a wearable optical sensor for monitoring seated spinal posture. 2006 10th IEEE International Symposium on Wearable Computers, 2006
  • [2] Corbman BP. Textiles. Fiber to fabric. Gregg/McGraw-Hill Marketing Series; McGraw-Hill. Gregg Division, 1983
  • [3] Gibbs PT, Asada HH. Wearable conductive fiber sensors for multi-axis human joint angle measurements. Journal of neuroengineering and rehabilitation, 2005, 2 (1):7
  • [4] Tognetti A, Lorussi F, Mura GD, Crbonaro N, Pacelli M. New generation of wearable goniometers for motion capture systems. Journal of NeuroEngineering and Rehabilitation, 2014 11 (1):56
  • [5] Shyr TW, Shie J-W, Jiang CH, Li JJ. A Textile-Based Wearable Sensing Device Designed for Monitoring the Flexion Angle of Elbow and Knee Movements. Sensors, 2014 14 (3):4050-4059
  • [6] Tognetti A, Lorussi F, Bartalesi R, et al. Wearable kinesthetic system for capturing and classifying upper limb gesture in post-stroke rehabilitation. Journal of NeuroEngineering and Rehabilitation, 2005, 2 (1):8
  • [7] Scilingo EP, Lorussi F, Mazzoldi A, De Rossi D. Strain-sensing fabrics for wearable kinaesthetic-like systems. Ieee Sensors Journal, 2003, 3(4):460-467
  • [8] Li Y, Cheng XY, Leung MY, Tsang J, Tao XM, Yuen CWM. A flexible strain sensor from polypyrrole-coated fabrics. Synthetic Metals, 2005, 155 (1):89-94
  • [9] Wu J, Zhou D, Too CO, Wallace GG. Conducting polymer coated lycra. Synthetic Metals,2005 155 (3):698-701
  • [10] Tokarska M, Gniotek K. Anisotropy of the electrical properties of flat textiles. Journal of the Textile Institute, 2015, 106 (1):9-18
  • [11] Tokarska M. Measuring resistance of textile materials based on Van der Pauw method. Indian Journal of Fibre & Textile Research, 2013,38 (2):198-201
  • [12] Banabic D. Sheet metal forming processes. Springer, 2009
  • [13] Christensen NB. Difficulties in determining electrical anisotropy in subsurface investigations. Geophysical Prospecting, 2000 48 (1):1-19
  • [14] Banaszczyk J, De Mey G, Schwarz A, Van Langenhove L. Current Distribution Modelling in Electroconductive Fabrics. Fibres & Textiles in Eastern Europe, 2009, 17 (2):28-33
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d24f7020-6f92-44be-a770-81fde901f094
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