2017
DOI: 10.1177/1045389x16672570
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Assessment of human bones encompassing physiological decay and damage using piezo sensors in non-bonded configuration

Abstract: In the recent years, several biomedical applications of lead zirconate titanate piezo-electric ceramic patches based on the electro-mechanical impedance technique have been reported in the literature. However, practical application of the technique on live subjects is severely hampered due to the requirement of bonding the patch with bone or cartilage with an adhesive. In addition, live subjects have skin cover over the bone. This article proposes and evaluates the feasibility of employing lead zirconate titan… Show more

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Cited by 23 publications
(14 citation statements)
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“…The influence of skin on the conductance signature was additionally investigated using additional modeling. Although quite cumbersome, best efforts were made to generate 3D model of the bones accurately with the primary dimensions similar to the real bones investigated by the authors . For simplicity, minor details like exact shape of bone and unevenness of bone surface were omitted.…”
Section: Development Of Numerical Modelmentioning
confidence: 99%
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“…The influence of skin on the conductance signature was additionally investigated using additional modeling. Although quite cumbersome, best efforts were made to generate 3D model of the bones accurately with the primary dimensions similar to the real bones investigated by the authors . For simplicity, minor details like exact shape of bone and unevenness of bone surface were omitted.…”
Section: Development Of Numerical Modelmentioning
confidence: 99%
“…Meshing was done for all the components involved, which are aluminum strip, epoxy adhesive, bone, and the PZT patch. In the actual experiment, this aluminum strip was secured to the bone using jubilee clamps at the ends of the aluminum strip . In numerical analysis, the same was simulated by sticking the ends of the aluminum strip to the bone through epoxy bond.…”
Section: Development Of Numerical Modelmentioning
confidence: 99%
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