Recent advances in transducers for through-tissue ultrasonic power transfer.

IF 7.7 Q1 ENGINEERING, BIOMEDICAL
Yu Chu, Ali Naderi, Huaiyu Wu, Xiangming Xue, Michael L Oelze, Xiaoning Jiang
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Abstract

Ultrasonic power transfer (UPT) is gaining traction for wireless energy delivery to implants and wearables because it combines centimeter-scale penetration with compact receivers. This review takes a transducer-centric view of UPT and organizes the field across bulk piezoelectrics (including lead-free options), piezoelectric micromachined ultrasonic transducers, capacitive micromachined ultrasonic transducers, flexible polymer platforms and magnetostrictive transducers. We connect working mechanisms and structural configurations to practical performance-operating frequency ranges, bandwidth, link efficiency and output power, and miniaturization trade-offs-and summarize representative demonstrations in biomedical systems. System-level considerations for integration (acoustic/electrical matching and rectification) and bidirectional links (including backscatter and active telemetry) are highlighted to show how a single acoustic carrier can deliver power and data through tissue. We conclude with challenges (attenuation and misalignment, materials reliability and packaging, and scaling to millimeter/sub-millimeter form factors) and opportunities that draw on materials innovations (metamaterials, lead-free ceramics, flexible polymers) and machine-learning-assisted co-design for robust, efficient through-tissue operation. Together, this transducer-focused synthesis provides a practical map from device physics and fabrication choices to system performance and emerging applications.

穿透组织超声能量传递换能器的研究进展。
超声波能量传输技术(UPT)在植入物和可穿戴设备的无线能量传输中越来越受欢迎,因为它结合了厘米级的穿透能力和紧凑的接收器。本综述以换能器为中心,对UPT进行了综述,并组织了主体压电(包括无铅选项)、压电微机械超声换能器(PMUTs)、电容微机械超声换能器(CMUTs)、柔性聚合物平台和磁致伸缩换能器等领域的研究。我们将工作机制和结构配置与实际性能联系起来——工作频率范围、带宽、链路效率和输出功率,以及小型化权衡——并总结了生物医学系统中的代表性演示。系统级的集成考虑(声学/电气匹配和整流)和双向链接(包括反向散射和主动遥测)被强调,以展示单个声学载体如何通过组织传递电力和数据。我们总结了挑战(衰减和不对准,材料可靠性和封装,以及缩放到毫米/亚毫米尺寸)和利用材料创新(超材料,无铅陶瓷,柔性聚合物)和机器学习辅助协同设计的机会,以实现稳健,高效的贯穿组织操作。总之,这种以传感器为中心的综合提供了从器件物理和制造选择到系统性能和新兴应用的实用地图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
9.40
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0.00%
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