无电连接的阿基米德螺旋对作为无源无线植入式传感器。

Journal of biomedical technology and research Pub Date : 2014-01-01 Epub Date: 2014-08-18
John F Drazan, Aleksandra Gunko, Matthew Dion, Omar Abdoun, Nathaniel C Cady, Kenneth A Connor, Eric H Ledet
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引用次数: 0

摘要

我们已经开发、建模、制造和测试了一种显示线性频率-位移关系的无源无线传感器系统。位移传感器由两个不对齐的阿基米德线圈组成,由绝缘介电层隔开。两个线圈之间没有电气连接,也没有机载电子设备。这两个线圈是电感和电容耦合,因为他们的近距离。传感器系统通过监测来自矢量网络分析仪的回波损耗参数进行无线询问。传感器的谐振频率取决于两个线圈之间的位移。由于线圈之间在不同距离处的电感和电容耦合的变化,谐振频率被线圈分离调制。在一定范围内,频移可以根据线圈间距线性化。以空气为介质,采用批量制备技术制备了用于实验测试的铜线圈。通过测试,我们在可接受的误差范围内验证了传感器的性能。由于其简单性,这种位移传感器在体内传感方面具有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Archimedean Spiral Pairs with no Electrical Connections as a Passive Wireless Implantable Sensor.

Archimedean Spiral Pairs with no Electrical Connections as a Passive Wireless Implantable Sensor.

Archimedean Spiral Pairs with no Electrical Connections as a Passive Wireless Implantable Sensor.

Archimedean Spiral Pairs with no Electrical Connections as a Passive Wireless Implantable Sensor.

We have developed, modeled, fabricated, and tested a passive wireless sensor system that exhibits a linear frequency-displacement relationship. The displacement sensor is comprised of two anti-aligned Archimedean coils separated by an insulating dielectric layer. There are no electrical connections between the two coils and there are no onboard electronics. The two coils are inductively and capacitively coupled due to their close proximity. The sensor system is interrogated wirelessly by monitoring the return loss parameter from a vector network analyzer. The resonant frequency of the sensor is dependent on the displacement between the two coils. Due to changes in the inductive and capacitive coupling between the coils at different distances, the resonant frequency is modulated by coil separation. In a specified range, the frequency shift can be linearized with respect to coil separation. Batch fabrication techniques were used to fabricate copper coils for experimental testing with air as the dielectric. Through testing, we validated the performance of sensors as predicted within acceptable errors. Because of its simplicity, this displacement sensor has potential applications for in vivo sensing.

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