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Autonomous implantable bioelectronics rely on wireless connectivity, necessitating highly efficient electromagnetic (EM) radiation systems. However, limitations in power, safety, and data transmission currently impede the advancement of innovative wireless medical devices, such as tetherless neural interfaces, electroceuticals, and surgical microrobots. To overcome these challenges and ensure sufficient link and power budgets for wireless implantable systems, this study explores the mechanisms behind EM radiation and losses, offering strategies to enhance radiation efficiency in wireless implantable bioelectronics. Using analytical modeling, the EM waves emitted by the implant are expanded as a series of spherical harmonics, enabling a detailed analysis of the radiation mechanisms. This framework is then extended to approximate absorption losses caused by the lossy and dispersive properties of tissues through derived analytical expressions. The radiation efficiency and in-body path loss are quantified and compared in terms of three primary loss mechanisms. The impact of various parameters on the EM efficiency of implantable devices is analyzed and quantified, including operating frequency, implant size, body-air interface curvature, and implantation location. Additionally, a rapid estimation technique is introduced to determine the optimal operating frequency for specific scenarios, along with a set of design principles aimed at improving radiation performance. The design strategies derived in this work - validated through numerical and experimental demonstrations on realistic implants - reveal a potential improvement in implant radiation efficiency or gain by a factor of five to ten, leading to a corresponding increase in overall link efficiency compared to conventional designs., Comment: 14 pages, 13 figures

Implantable wireless bioelectronic devices enable communication and/or power transfer through RF wireless connections with external nodes. These devices encounter notable design challenges due to the lossy nature of the host body, which significantly diminishes the radiation efficiency of the implanted antenna and tightens the wireless link budget. Prior research has yielded closed-form approximate expressions for estimating losses occurring within the lossy host body, known as the in-body path loss. To assess the total path loss between the implanted transmitter and external receiver, this paper focuses on the free-space path loss of the implanted antenna, from the body-air interface to the external node. This is not trivial, as in addition to the inherent radial spreading of spherical electromagnetic waves common to all antennas, implanted antennas confront additional losses arising from electromagnetic scattering at the interface between the host body and air. Employing analytical modeling, we propose closed-form approximate expressions for estimating this free-space path loss. The approximation is formulated as a function of the free-space distance, the curvature radius of the body-air interface, the depth of the implanted antenna, and the permittivity of the lossy medium. This proposed method undergoes thorough validation through numerical calculations, simulations, and measurements for different implanted antenna scenarios. This study contributes to a comprehensive understanding of the path loss in implanted antennas and provides a reliable analytical framework for their efficient design and performance evaluation., Comment: 12 pages, 17 figures

This paper presents a method for the fast and accurate estimation of the gain pattern and maximum gain of an implanted antenna including the effect of the host body, under the assumption that the latter is electrically large. The estimation procedure is based on the radiation of an elementary dipole source placed in a planar body model. The derivation of closed-form expressions is based on spherical wave analysis and the Green's functions for layered media. The validity of this approximation for practical cases is shown on different implanted antennas, where the results are compared to full wave simulations and measurements., Comment: 6 pages, 7 figures

Implantable bioelectronics often relies on an RF-wireless link for communication and/or remote powering. Propagation through biological media is very lossy, and previous work has shown that these losses can be separated into three parts: the losses incurred by the propagating fields, the reflections at media interfaces, and the coupling of the reactive near field and the lossy body. The first two are unavoidable, but a clever antenna design can minimize the near-field losses. A good physical understanding of this particular loss phenomenon is thus very desirable. Unfortunately, previous work does not take the implantation depth into account and is thus valid only for deep implants. In this contribution, we propose approximate expressions to the near field losses of antennas implanted in biological hosts considering the encapsulation size, the frequency, the characteristics of the host medium, and the implantation depth. They are obtained using a spherical wave expansion, and are useful for realistic implantation scenarios. This is demonstrated by first comparing the results obtained using these expressions with rigorous computations for two canonical phantoms: a spherical phantom and a planar phantom. Finally, the usefulness of the obtained expressions is illustrated in the practical realization of a capsule-shaped implanted antenna.

The wireless power transfer efficiency to implanted bioelectronic devices is constrained by several frequency-dependent physical mechanisms. Recent works have developed several mathematical formulations to understand these mechanisms and predict the optimal operating conditions. However, existing approaches rely on simplified body models, which are unable to capture important aspects of wireless power transfer. Therefore, this paper proposes the efficiency analysis approach in anatomical models that can provide insightful information on achieving the optimum operation conditions. First, this approach is validated with a theoretical spherical wave expansion analysis, and the results for a simplified spherical model and a human pectoral model are compared. The results show that although a magnetic receiver outperforms an electric one for near-field operation and both sources could be equally employed in far-field range, it is in mid-field that the maximum efficiency is achieved with an optimum frequency between 1-5 GHz depending on the implantation depth. The receiver orientation is another factor that affects the efficiency, with a maximum difference between the best and worst-case scenarios around five times for the electric source and over 13 times for the magnetic one. This approach is used to analyze the case of a deep-implanted pacemaker wirelessly powered by an on-body transmitter and subjected to stochastic misalignments. We evaluate the efficiency and exposure, and we demonstrate how a buffered transmitter can be tailored to achieve maximum powering efficiency. Finally, design guidelines that lead to optimal implantable wireless power transfer systems are established from the results obtained with the proposed approach.

Propagation of UWB Gaussian signal in a model of automated collaborative warehouse is analyzed using ray tracing method. The transmitting antenna is placed on the human body while the received power profiles in warehouse containing empty racks and racks filled with different loads are calculated. This gives rise to estimation of safe communication range between humans and robots., Comment: Proceedings of 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The paper presents the propagation analysis of ultrawideband Gaussian signal in an automated collaborative warehouse environment where human and robots communicate to ensure that mutual collisions do not occur. The warehouse racks are principally modeled as clusters of metallic (PEC) parallelepipeds, with dimensions chosen to approximate the realistic warehouse. The signal propagation is analyzed using a ray tracing software, with the goal to calculate the path loss profile for different representative scenarios and antenna polarizations. The influence of the rack surface roughness onto propagation is also analyzed. The guidelines for optimum antenna positions on humans and robots for safe communication are proposed according to the simulations results., Comment: 2020 14th European Conference on Antennas and Propagation (EuCAP). arXiv admin note: text overlap with arXiv:2001.03160

The paper presents an idealized warehouse environment where human and robots are both present and need to communicate to avoid mutual collisions. The warehouse shelves are modelled as metallic (PEC) parallelepipeds, which is the largest obstacle of practical interest, while for communication an UWB Gaussian signal at 3.994 GHz and 468 MHz width is used. The signal propagation is analyzed using ray tracing software, with the goal to determine the range of communication and the optimum antenna configurations. Several scenarios have been analyzed and discussed. It is found that the major influence on the communication range is exhibited by type of polarization of antennas placed on human and robot, while the optimum range is obtained when all the antennas are vertically polarized., Comment: ICECOM 2019 - 23rd International Conference on Applied Electromagnetics and Communications; http://www.icecom.org/