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Enabling Real-Time Monitoring of Intrabody Networks Through the Acoustic Discovery Architecture

机译:通过声学发现架构启用对IntroBody网络的实时监控

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摘要

This article proposes the first acoustic discovery architecture (ADA) for intrabody networks (INs). The main objective of ADA is to discover and interrogate, in real-time (RT), all the implanted medical devices (IMDs) that are part of an IN. This permits noninvasive RT diagnosis for patients with multiple IMDs. ADA will allow medical doctors to have vital information, on-the-go, for treating patients and to constantly monitor them. The architecture was implemented in a network simulator emulating a real-life IN, based on preliminary experimental results. ADA is in charge of scanning the body volume, by exploiting the beam-forming and beam-steering capability of piezoelectric micromachined ultrasonic transducers (pMUTs) arrays, and efficiently interrogating all the reached devices for their status. As a result, a full IN map can be reconstructed together with all the vital signs of a patient. ADA shows very good RT capabilities, with a full scanning time from 1500 down to 100 ms and energy consumption from 2.6 down to 0.2 mJ, depending on the scanning accuracy, for a body torso volume of ${60}imes {30}imes {20},,ext {cm}^{{3}}$ .
机译:本文提出了一个用于Introbody网络(INS)的第一声学发现架构(ADA)。 ADA的主要目标是在实时(RT)中发现和询问,所有植入的医疗设备(IMD)都是其中的一部分。这允许对多种IMD的患者进行无创RT诊断。 Ada将允许医生在患者身上进行重要信息,并不断监测它们。基于初步实验结果,在网络模拟器中实现了该架构。通过利用压电微机械超声换能器(PMUT)阵列的光束成形和光束转向能力,以及有效地询问所有到达设备,以扫描体积,并有效地询问所有达到的设备的状态。结果,可以与患者的所有生命身份一起重建完整的地图。 ADA显示了非常好的RT功能,完全扫描时间从1500降至100 ms,从2.6到0.2 MJ的能量消耗,具体取决于扫描精度,适用于身体躯干体积<内联公式XMLNS:MML =“http://www.w3.org/1998/math/mathml”xmlns:xlink =“http://www.w3.org/1999/xlink”> $ {60} times {30} times {20} ,, text {cm} ^ {{3}} $

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