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Investigation of a Passive Sensor Array for Diagnosis of Loosening of Endoprosthetic Implants

机译:用于诊断内假体植入物松动的无源传感器阵列的研究

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Currently, imaging methods are used to diagnose loosening of endoprosthetic implants, but fail to achieve 100% accuracy. In this study, a passive sensor array which is based on the interaction between magnetic oscillators inside the implant and an excitation coil outside the patient was investigated. The excited oscillators produce sound in the audible range, which varies according to the extent of loosening. By performing several experimental tests, the sensor array was optimized to guarantee reproducible and selective excitation of the sound emission. Variation in the distance between the oscillators demonstrated a definite influence on the quality of the generated sound signal. Furthermore, a numerical design analysis using the boundary element method was generated for consideration of the magnetic field and the selectivity of the oscillators during excitation. The numerical simulation of the coil showed the higher selectivity of a coil with a C-shape compared to a cylindrical coil. Based on these investigations, the passive sensor system reveals the potential for detection of implant loosening. Future aims include the further miniaturization of the oscillators and measurements to determine the sensitivity of the proposed sensor system.
机译:目前,成像方法被用于诊断假体植入物的松动,但未能达到100%的准确度。在这项研究中,研究了一种无源传感器阵列,该阵列基于植入物内部的磁振荡器与患者外部的激励线圈之间的相互作用。受激振荡器产生的声音在可听范围内,随松动程度而变化。通过执行几次实验测试,对传感器阵列进行了优化,以确保可再现和选择性地激发声发射。振荡器之间距离的变化证明了对所生成声音信号质量的确定影响。此外,考虑到磁场和激励期间振荡器的选择性,使用边界元方法进行了数值设计分析。线圈的数值模拟表明,与圆柱形线圈相比,C形线圈具有更高的选择性。基于这些研究,被动式传感器系统揭示了检测植入物松动的潜力。未来的目标包括使振荡器进一步小型化,并进行测量以确定所提出的传感器系统的灵敏度。

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