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ENERGY HARVESTING FROM ARTERIAL BLOOD PRESSURE FOR POWERING EMBEDDED MICROSENSORS IN HUMAN BRAIN

机译:从动脉血压中获取能量以驱动人脑中的嵌入式显微镜

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This manuscript investigates energy harvesting from arterial blood pressure via the piezoelectric effect for the purpose of powering embedded micro-sensors in the human brain. One of the major hurdles in recording and measuring electrical data in the human nervous system is the lack of implantable and long term interfaces that record neural activity for extended periods of time. Recently, some authors have proposed micro sensors implanted deep in the brain that measure local electrical and physiological data which is then communicated to an external interrogator. This paper proposes a way of powering such interfaces. The geometry of the proposed harvester consists of a piezoelectric, circular, curved bimorph that fits into the blood vessel (specifically, the Carotid artery) and undergoes bending motion because of blood pressure variation. In addition, the harvester thickness is constrained such that it does not modify arterial wall dynamics. This transforms the problem into a known strain problem and the integral form of Gauss's law is used to obtain an equation relating arterial wall motion to the induced voltage. The theoretical model is validated by means of a Multiphysics 3D-FEA simulation comparing the harvested power at different load resistances. The peak harvested power achieved for the Carotid artery (proximal to Brain), with PZT-5H, was 11.7 μ W. The peak power for the Aorta was 203.4 μW. Further, the variation of harvested power with variation in harvester width and thickness, arterial contractility and the pulse rate is investigated. Moreover, potential application of the harvester as a chronic, implantable and real-time Blood pressure sensor is considered. Energy harvested via this mechanism will also have applications in long-term, implantable Brain Micro-stimulation.
机译:该手稿研究了通过压电效应从动脉血压中收集能量的目的,旨在为人脑中的嵌入式微传感器供电。在人类神经系统中记录和测量电数据的主要障碍之一是缺乏可植入的长期接口来长时间记录神经活动。最近,一些作者提出了植入大脑深处的微传感器,该传感器可测量局部电和生理数据,然后将其传送给外部询问器。本文提出了一种为此类接口供电的方法。提出的收割机的几何形状包括一个压电的,圆形的,弯曲的双压电晶片,该压电双晶片适合装入血管(特别是颈动脉)并由于血压变化而发生弯曲运动。另外,收割机的厚度受到限制,以至于它不会改变动脉壁动力学。这将问题转化为已知的应变问题,并且使用高斯定律的积分形式来获得使动脉壁运动与感应电压相关的方程式。理论模型通过多物理场3D-FEA仿真进行了验证,该仿真比较了在不同负载电阻下的采集功率。使用PZT-5H,对颈动脉(靠近大脑)获得的峰值功率为11.7μW。主动脉的峰值功率为203.4μW。此外,研究了收获功率随收获器宽度和厚度,动脉收缩性和脉搏率的变化而变化。此外,考虑将收割机作为一种长期的,可植入的实时血压传感器的潜在应用。通过这种机制收集的能量还将在长期的植入式脑部微刺激中得到应用。

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