Recently, there has been remarkable progress in the development of smart textiles, especially knitted strain sensors, to achieve reliable sensor signals. Stable and reliable electro-mechanical properties of sensors are essential for using textile-based sensors in medical applications. However, the challenges associated with significant hysteresis and low gauge factor (GF) values remain for using strain sensors for motion capture. To evaluate these issues, a comprehensive investigation of the cyclic electro-mechanical properties of weft-knitted strain sensors was conducted in the present study to develop a drift-free elastic strain sensor with a robust sensor signal for motion capture for medical devices. Several variables are considered in the study, including the variation of the basic knit pattern, the incorporation of the electrically conductive yarn, and the size of the strain sensor. The effectiveness and feasibility of the developed knitted strain sensors are demonstrated through an experimental evaluation, by determining the gauge factor, its nonlinearity, hysteresis, and drift. The developed knitted piezoresistive strain sensors have a GF of 2.4, a calculated drift of 50%, 12.5% hysteresis, and 0.3% nonlinearity in parts.
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http://dx.doi.org/10.3390/polym15193936 | DOI Listing |
Int J Biol Macromol
January 2025
Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing 210037, China; College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China. Electronic address:
Graphene exhibits exceptional electrical properties, and aerogels made from it demonstrate high sensitivity when used in sensors. However, traditional graphene aerogels have poor biocompatibility and sustainability, posing potential environmental and health risks. Moreover, the stacking of their internal structures results in low compressive strength and fatigue resistance, which limits their further applications.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
School of Chemistry and Chemical Engineering, Anhui University, Hefei 230601, China. Electronic address:
Conductive hydrogels with exceptional mechanical properties have received extensive attention in flexible strain sensors. However, there is still a huge challenge in the preparation of hydrogels with high toughness, conductivity and frost resistance performance. In this study, the prepared PA-PAAM-CS (PPAC) composite hydrogels were obtained by incorporating phytic acid (PA) and chitosan (CS) into poly(acrylamide-co-stearyl methacrylate) (PAAM) polymer network.
View Article and Find Full Text PDFWearable Technol
December 2024
College of Engineering, University of Michigan, Ann Arbor, MI, USA.
Internal and external rotation of the shoulder is often challenging to quantify in the clinic. Existing technologies, such as motion capture, can be expensive or require significant time to setup, collect data, and process and analyze the data. Other methods may rely on surveys or analog tools, which are subject to interpretation.
View Article and Find Full Text PDFBiotechnol Rep (Amst)
March 2025
Department of Biology, University of York, Wentworth Way, York, YO10 5DD, UK.
Unlabelled: Ongoing research in biosensor technologies has led to advanced functional materials for healthcare diagnostics, and bacteriophages (phages), demonstrating exceptional utility due to their high specificity, accuracy, rapid, label-free, and wireless detection capabilities with minimal false-positive results. Phage-based-pathogen-detecting biosensors (PBPDBs) include surface plasmon resonance (SPR) biosensors, magnetoelastic (ME), electrochemical, and quartz crystal microbalance (QCM) biosensors. Commonly used substrates for PBPDBs are gold, silicon, glass, carbon-based materials, magnetic particles, and quantum dots.
View Article and Find Full Text PDFLangmuir
January 2025
Henan Province Engineering Technology Research Center of MEMS Manufacturing and Applications, School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China.
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