用于植入式应变传感的无电池、无线和安全SoC

Mohamed R. Abdelhamid;Unsoo Ha;Utsav Banerjee;Fadel Adib;Anantha P. Chandrakasan
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引用次数: 1

摘要

在过去的几年里,人们对无线和无电池植入物越来越感兴趣,因为它们在体内条件的长期生物医学监测中具有潜力,如内脏运动、膀胱压力和胃肠道健康。早期提出的无电池植入物依赖于感应近场耦合和超声采集,这需要外部电源和人体之间的直接接触。为了克服这一近场挑战,最近的研究调查了射频反向散射在无线微型植入物中的使用,因为它能够与放置在体外一定距离的无线接收器进行通信,从而实现更无缝的用户体验。不幸的是,现有的远场反向散射设计的功能仍然有限:它们无法进行生物识别传感或安全的数据传输;由于周围组织的变化的影响,它们还遭受收获效率和反向散射范围的降低。在本文中,我们介绍了一种用于体内应变传感的无电池、无线和安全的片上系统(SoC)植入物的设计。SoC依赖于四个特征:1)采用可重新配置的体内矩形天线,该天线可以跨组织工作,以适应其反向散射带宽和中心频率;2) 设计能量有效的1.37毫米汞柱应变传感前端,其效率为5.9毫米汞柱$\cdot$nJ/转换;3) 结合AES-GCM安全引擎以确保感测数据的真实性和机密性,同时将ADC与传感器接口共享以产生区域有效的随机数;4) 实现空中闭环无线编程方案以重新编程RF前端以适应周围组织,并且传感器前端实现低于2s的更快的稳定时间。
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Batteryless, Wireless, and Secure SoC for Implantable Strain Sensing
The past few years have witnessed a growing interest in wireless and batteryless implants, due to their potential in long-term biomedical monitoring of in-body conditions, such as internal organ movements, bladder pressure, and gastrointestinal health. Early proposals for batteryless implants relied on inductive near-field coupling and ultrasound harvesting, which require direct contact between the external power source and the human body. To overcome this near-field challenge, recent research has investigated the use of RF backscatter in wireless micro-implants because of its ability to communicate with wireless receivers that are placed at a distance outside the body $(\sim 0.5$ m), allowing a more seamless user experience. Unfortunately, existing far-field backscatter designs remain limited in their functionality: they cannot perform biometric sensing or secure data transmission; they also suffer from degraded harvesting efficiency and backscatter range due to the impact of variations in the surrounding tissues. In this article, we present the design of a batteryless, wireless and secure system-on-chip (SoC) implant for in-body strain sensing. The SoC relies on four features: 1) employing a reconfigurable in-body rectenna which can operate across tissues adapting its backscatter bandwidth and center frequency; 2) designing an energy efficient 1.37 mmHg strain sensing front-end with an efficiency of 5.9 mmHg $\cdot $ nJ/conversion; 3) incorporating an AES-GCM security engine to ensure the authenticity and confidentiality of sensed data while sharing the ADC with the sensor interface for an area-efficient random number generation; 4) implementing an over-the-air closed-loop wireless programming scheme to reprogram the RF front-end to adapt for surrounding tissues and the sensor front-end to achieve faster settling times below 2 s.
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