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

TL;DR

This paper introduces a non-invasive inductive link model for implantable biomedical devices like pacemakers, enabling safe power transfer and real-time monitoring of arrhythmic patients within body area networks.

Contribution

It proposes a novel non-invasive inductive link model for implantable devices that improves power transfer efficiency while ensuring safety for body tissues.

Findings

Series tuned circuits outperform other models in efficiency and voltage gain.

Optimal coupling coefficient (k<0.45) enhances safety and performance.

Simulation results validate the effectiveness of the proposed model.

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 \emph{0.45} as, desirable for the safety of body tissues.