iRFSim for BSNs -Imaging based subject-specific RF simulation environment for wearable and implantable wireless Body Sensor Networks (BSNs)

iRFSim for BSN - 用于可穿戴和植入式无线身体传感器网络 (BSN) 的基于成像的特定主题射频仿真环境

基本信息

批准号：
EP/E057624/1
负责人：
Y Hao
金额：
$ 38.9万
依托单位：
Queen Mary University of London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2007
资助国家：
英国
起止时间：
2007 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FE057624%2F1
关键词：
iRFSim BSNs Imaging based subject

项目摘要

With increasing sophistication of wearable and implantable medical devices and their integration with wireless sensors, ever-expanding ranges of therapeutic and diagnostic applications are being pursued by the research and commercial organisations. These new miniaturised wireless devices include, for example, context aware implanted pacemakers and cardiac defibrillators, wirelessly controlled valves in the urinary tract operating on-demand by the patients for restoring bladder control, and integrated drug-delivering therapeutic systems such as those used for fast-acting insulin in diabetics. For these devices, the wireless data-path used to interrogate and communicate with the implants represents one of the most significant research challenges in overall system design due to its significant power consumption and complex characteristics within the human body. While wireless communication through the air has been extensively studied, communication from implanted devices through the human body is a new area of study. The human body is an uninviting and often hostile environment for a wireless signal. Typical geometries of implantable devices, such as implantable cardiac defibrillators and pacemakers, implantable glucose sensors, endoscopic and drug-delivering capsule devices, vary from mm to cm ranges. Wireless implants are restricted to a compact antenna that needs to be fully characterised and effectively coupled to the transceiver. There is also an issue of low power consumption required by implantable devices and these two factors are highly related. In order to design power efficient in-body communication schemes, understanding the mechanism of wave propagation and attenuation inside human body is important, but so far has not been explored systematically. Accurate modelling of induced electromagnetic fields and propagation in the body is a prerequisite to the design of wearable and implantable wireless sensors. The difficulty of simulating electromagnetic field and radio propagation within the human body is mainly due to the morphological complexity of organs and their heterogeneous tissue characteristics, coupled with dynamic deformation and inter-subject variations. In terms of how radiowave attenuates inside the body and the associated field behaviour around the body surface, there is so far limited knowledge. In this case, the characteristics of in vivo multiple path reflection is different and in vivo radio propagation is expected to be subject-specific and influenced by organ deformation and body movements. For developing implantable devices with optimised wireless data-path, long battery life, and effective control of field distribution, a thorough understanding of these issues is critical to the future advancement of BSNs.The objective of this proposal is to create a new imaging based subject-specific RF simulation environment for wearable and implantable wireless Body Sensor Networks (BSNs). It brings together a multi-disciplinary team from Imperial College London (ICL) and Queen Mary, University of London (QMUL) with expertise in medical imaging, BSN, electromagnetic modelling, antennas and radio propagation.

随着可穿戴和可植入医疗设备的复杂性及其与无线传感器的集成，研究和商业组织正在追求不断扩展的治疗和诊断应用范围。这些新型的微型无线设备包括，例如，患者在尿路中以恢复膀胱控制的尿道操作，以及在糖尿病中快速作用胰岛素的尿液疗法治疗系统（包括恢复膀胱的综合治疗系统），在尿道上运行的尿路中无线控制瓣膜的无线控制瓣膜。对于这些设备，用于询问和与植入物进行询问和通信的无线数据路径代表了整体系统设计中最重要的研究挑战之一，因为它的大量功耗和人体内部的复杂特征。尽管通过空中进行无线通信进行了广泛的研究，但人体植入设备的通信是一个新的研究领域。人体是无线信号的不吸引人，通常是敌对的环境。植入式设备的典型几何形状，例如可植入的心脏除颤器和起搏器，可植入的葡萄糖传感器，内窥镜和药物脱落的胶囊设备，从MM到CM范围不等。无线植入物仅限于需要充分表征并有效耦合到收发器的紧凑型天线。植入设备所需的低功耗也存在问题，这两个因素高度相关。为了设计电力效率的体内交流方案，了解人体内部波浪传播和衰减的机制很重要，但到目前为止尚未系统地探索。人体中诱导的电磁场和传播的准确建模是设计可穿戴和植入无线传感器的先决条件。模拟人体内电磁场和无线电传播的难度主要是由于器官及其异质组织特征的形态复杂性，以及动态变形和主体间变化的结合。就放射线如何减弱体内的放射线以及身体表面周围的相关场行为，到目前为止的知识有限。在这种情况下，体内多路径反射的特征是不同的，并且预期体内无线电传播特定于主体，并受器官变形和身体运动的影响。为了开发具有优化的无线数据路径，较长电池寿命和对现场分配的有效控制的可植入设备，对这些问题的透彻理解对于BSN的未来进步至关重要。该提案的目的是为基于特定成像的特定于特定于特定的RF模拟环境创建可穿戴和可植入的无线身体传感器网络（BSN）。它汇集了来自伦敦帝国学院（ICL）的多学科团队和伦敦大学（QMUL）皇后玛丽（QMUL），具有医学成像，BSN，电磁建模，天线和无线电传播方面的专业知识。