On the Use of Knitted Antennas and Inductively Coupled RFID Tags for Wearable Applications
On the Use of Knitted Antennas and Inductively Coupled RFID Tags for Wearable Applications
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DOI：
10.1109/tbcas.2016.2518871
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发表时间：
2016-12-01
影响因子：
5.1
通讯作者：
Dandekar, Kapil R.
中科院分区：
文献类型：
--
作者：
Patron, Damiano;Mongan, William;Dandekar, Kapil R.
导电性纱线和制造技术的最新进展为设计和编织配备有生物医学应用传感器的无缝服装提供了令人兴奋的机会。在本文中，我们讨论了可穿戴应变传感器的设计和应用，该传感器可用于生物医学监测，如收缩，呼吸或肢体运动。该系统利用了物理拉伸下电感耦合RFID标签的背散射功率（RSSI）的强度变化。首先，我们描述了天线的设计，并对导电织物的阻抗进行了建模。实验结果表明，输入阻抗和辐射方向图与数值模拟结果吻合较好。最后，将该可穿戴传感器应用于医疗可编程人体模型的婴儿呼吸监测。利用机器学习技术对RSSI数据进行了后处理，结果表明，呼吸和非呼吸模式可以成功分类。
Recent advancements in conductive yarns and fabrication technologies offer exciting opportunities to design and knit seamless garments equipped with sensors for biomedical applications. In this paper, we discuss the design and application of a wearable strain sensor, which can be used for biomedical monitoring such as contraction, respiration, or limb movements. The system takes advantage of the intensity variations of the backscattered power (RSSI) from an inductively-coupled RFID tag under physical stretching. First, we describe the antenna design along with the modeling of the sheet impedance, which characterizes the conductive textile. Experimental results with custom fabricated prototypes showed good agreement with the numerical simulation of input impedance and radiation pattern. Finally, the wearable sensor has been applied for infant breathing monitoring using a medical programmable mannequin. A machine learning technique has been developed and applied to post-process the RSSI data, and the results show that breathing and non-breathing patterns can be successfully classified.