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一种用于图像引导闭环超声神经调节的可穿戴双模式探头。

A Wearable Dual-Mode Probe for Image-Guided Closed-Loop Ultrasound Neuromodulation.

作者信息

Huan Junjun, Pashaei Vida, Majerus Steve J A, Bhunia Swarup, Mandal Soumyajit

出版信息

IEEE Trans Biomed Circuits Syst. 2025 Apr;19(2):357-373. doi: 10.1109/TBCAS.2024.3425858. Epub 2025 Apr 2.

Abstract

Low-intensity focused ultrasound (FUS) is an emerging non-invasive and spatially/temporally precise method for modulating the firing rates and patterns of peripheral nerves. This paper describes an image-guided platform for chronic and patient-specific FUS neuromodulation. The system uses custom wearable probes containing separate ultrasound imaging and modulation transducer arrays realized using piezoelectric transducers assembled on a flexible printed circuit board (PCB). Dual-mode probes operating around 4 MHz (imaging) and 1.3 MHz (modulation) were fabricated and tested on tissue phantoms. The resulting B-mode images were analyzed using a template-matching algorithm to estimate the location of the target nerve and then direct the modulation beam toward the target. The ultrasound transmit voltage used to excite the modulation array was optimized in real-time by automatically regulating functional feedback signals (the average rates of emulated muscle twitches detected by an on-board motion sensor) through a proportional and integral (PI) controller, thus providing robustness to inter-subject variability and probe positioning errors. The proposed closed-loop neuromodulation paradigm was experimentally demonstrated in vitro using an active tissue phantom that integrates models of the posterior tibial nerve and nearby blood vessels together with embedded sensors and actuators.

摘要

低强度聚焦超声(FUS)是一种新兴的非侵入性且在空间/时间上精确的方法,用于调节外周神经的放电频率和模式。本文描述了一种用于慢性和针对患者的FUS神经调节的图像引导平台。该系统使用定制的可穿戴探头,其中包含单独的超声成像和调制换能器阵列,这些换能器阵列是通过组装在柔性印刷电路板(PCB)上的压电换能器实现的。制作了工作在4 MHz(成像)和1.3 MHz(调制)左右的双模探头,并在组织模型上进行了测试。使用模板匹配算法分析所得的B模式图像,以估计目标神经的位置,然后将调制波束指向目标。通过比例积分(PI)控制器自动调节功能反馈信号(由板载运动传感器检测到的模拟肌肉抽搐的平均速率),实时优化用于激发调制阵列的超声发射电压,从而为个体间差异和探头定位误差提供鲁棒性。所提出的闭环神经调节范式在体外使用一个有源组织模型进行了实验验证,该模型将胫后神经和附近血管的模型与嵌入式传感器和致动器集成在一起。

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