Now showing items 1-4 of 4

    • Implantable microelectromechanical sensors for diagnostic monitoring and post-surgical prediction of bone fracture healing 

      McGilvray, K. C.; Ünal, E.; Troyer, K. L.; Santoni, B. G.; Palmer, R. H.; Easley, J. T.; Demir, Hilmi Volkan; Puttlitz, C. M. (John Wiley and Sons Inc., 2015)
      The relationship between modern clinical diagnostic data, such as from radiographs or computed tomography, and the temporal biomechanical integrity of bone fracture healing has not been well-established. A diagnostic tool ...
    • Metamaterial-based wireless strain sensors 

      Melik, R.; Unal, E.; Perkgoz, N. K.; Puttlitz, C.; Demir, Hilmi Volkan (American Institute of Physics, 2009-07-07)
      We proposed and demonstrated metamaterial-based strain sensors that are highly sensitive to mechanical deformation. Their resonance frequency shift is correlated with the surface strain of our test material and the strain ...
    • Nested metamaterials for wireless strain sensing 

      Melik, R.; Unal, E.; Perkgoz, N. K.; Santoni, B.; Kamstock, D.; Puttlitz, C.; Demir, Hilmi Volkan (IEEE, 2009-12-28)
      We designed, fabricated, and characterized metamaterial-based RF-microelectromechanical system (RF-MEMS) strain sensors that incorporate multiple split ring resonators (SRRs) in a compact nested architecture to measure ...
    • Utilizing multiple bioMEMS sensors to monitor orthopaedic strain and predict bone fracture healing 

      Wolynski, J.; Sutherland, C.; Demir, Hilmi Volkan; Ünal, Emre; Alipour, A.; Puttlitz, C.; McGilvray, K. (Wiley Periodicals, Inc., 2019)
      Current diagnostic modalities, such as radiographs or computed tomography, exhibit limited ability to predict the outcome of bone fracture healing. Failed fracture healing after orthopaedic surgical treatments are typically ...