Non-invasive Induction Link Model for Implantable Biomedical Microsystems: Pacemaker to Monitor Arrhythmic Patients in Body Area Networks

A. Tauqir, Sheeraz Akram, A.Y. Khan, N. Javaid, M. Akbar
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引用次数: 6

Abstract

In this paper, a non-invasive inductive link model for an Implantable Biomedical Microsystems (IBMs) such as, a pacemaker to monitor Arrhythmic Patients (APs) in Body Area Networks (BANs) is proposed. The model acts as a driving source to keep the batteries charged, inside a device called, pacemaker. The device monitors any drift from natural human heart beats, a condition of arrythmia and also in turn, produces electrical pulses that create forced rhythms that, matches with the original normal heart rhythms. It constantly sends a medical report to the health center to keep the medical personnel aware of the patient's conditions and let them handle any critical condition, before it actually happens. Two equivalent models are compared by carrying the simulations, based on the parameters of voltage gain and link efficiency. Results depict that the series tuned primary and parallel tuned secondary circuit achieves the best results for both the parameters, keeping in view the constraint of coupling co-efficient (k), which should be less than a value 0.45 as, desirable for the safety of body tissues.
植入式生物医学微系统的无创感应连接模型:在身体区域网络中监测心律失常患者的起搏器
本文提出了一种植入式生物医学微系统(ibm)的无创感应链路模型,用于在体区网络(BANs)中监测心律失常患者(APs)。该模型在一个叫做“起搏器”的装置中充当驱动源,保持电池充电。该设备监测任何偏离人类自然心跳的情况,这是一种心律失常的情况,并反过来产生电脉冲,产生与原始正常心律相匹配的强制节奏。它不断向医疗中心发送医疗报告,让医务人员了解患者的病情,让他们在病情真正发生之前处理任何危急情况。以电压增益和链路效率为参数,对两种等效模型进行了仿真比较。结果表明,考虑到耦合系数(k)的约束,串联调谐一次回路和并联调谐二次回路在这两个参数下都能获得最佳结果,耦合系数(k)应小于0.45 as,以保证人体组织的安全。
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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