Channel Characterization of Magnetic Human Body Communication

Wen, Erda; Sievenpiper, Daniel F.; Mercier, Patrick P.

doi:10.1109/tbme.2021.3101766

Cited by 16 publications

(6 citation statements)

References 46 publications

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“…The dielectric properties were set to be the frequency-dependent average of human tissue properties throughout the body, weighted by their relative volumes. The validity of using the average electric properties of the tissue in our simulations was confirmed by previous literature [21]. The simulation results obtained using these properties were found to be sufficiently similar to those obtained using a multi-layered model.…”

Section: Simulation Setupsupporting

confidence: 84%

“…The effect of the human body on electromagnetic waves is a complex phenomenon that occurs when the human body is in close proximity to a source. In addition to simple reflection, diffraction, and near-field dielectric and ohmic loss, there are other mechanisms that come into play, such as surface waves or lossy waveguide effects [ 21 ].…”

Section: Retrieval and Analysis Of Core Parameters Based On The Trans...mentioning

confidence: 99%

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The Retrieval and Effect of Core Parameters for Near-Field Inter-Body Coupling Communication

Zhang

Song

Zhou

et al. 2023

Sensors

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The potential of the Internet of Body (IoB) to support healthcare systems in the future lies in its ability to enable proactive wellness screening through the early detection and prevention of diseases. One promising technology for facilitating IoB applications is near-field inter-body coupling communication (NF-IBCC), which features lower power consumption and higher data security when compared to conventional radio frequency (RF) communication. However, designing efficient transceivers requires a profound understanding of the channel characteristics of NF-IBCC, which remain unclear due to significant differences in the magnitude and passband characteristics of existing research. In response to this problem, this paper clarifies the physical mechanisms of the differences in the magnitude and passband characteristics of NF-IBCC channel characteristics in existing research work through the core parameters that determine the gain of the NF-IBCC system. The core parameters of NF-IBCC are extracted through the combination of transfer functions, finite element simulations, and physical experiments. The core parameters include the inter-body coupling capacitance (CH), the load impedance (ZL), and the capacitance (Cair), coupled by two floating transceiver grounds. The results illustrate that CH, and particularly Cair, primarily determine the gain magnitude. Moreover, ZL mainly determines the passband characteristics of the NF-IBCC system gain. Based on these findings, we propose a simplified equivalent circuit model containing only core parameters, which can accurately capture the gain characteristics of the NF-IBCC system and help to concisely describe the channel characteristics of the system. This work lays a theoretical foundation for developing efficient and reliable NF-IBCC systems that can support IoB for early disease detection and prevention in healthcare applications. The potential benefits of IoB and NF-IBCC technology can, thus, be fully realized by developing optimized transceiver designs based on a comprehensive understanding of the channel characteristics.

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Section: Simulation Setupsupporting

confidence: 84%

Section: Retrieval and Analysis Of Core Parameters Based On The Trans...mentioning

confidence: 99%

The Retrieval and Effect of Core Parameters for Near-Field Inter-Body Coupling Communication

Zhang

Song

Zhou

et al. 2023

Sensors

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“…For instance, more recent work has started to investigate magnetic human-body communication (mHBC). Wen et al [18] provide a radiating near-field coupling model and numerical simulations to demonstrate that magnetic communication minimizes channel loss at the 100-200 MHz frequency band. Moreover, radio frequency signals can also be used to communicate through the human body.…”

Section: Related Workmentioning

confidence: 99%

Human Body as a Signal Transmission Medium for Body-Coupled Communication: Galvanic-Mode Models

Aristov,

Elsts

2023

Electronics

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Signal propagation models play a fundamental role in radio frequency communication research. However, emerging communication methods, such as body-coupled communication (BCC), require the creation of new models. In this paper, we introduce mathematical models that approximate the human body as an electrical circuit, as well as linear regression- and random forest-based predictive models that infer the expected signal loss from its frequency, measurement point locations, and body parameters. The results demonstrate a close correspondence between the amplitude-frequency response (AFR) predicted by the electrical circuit models and the experimental data gathered from volunteers. The accuracy of our predictive models was assessed by using their root mean square errors (RMSE), ranging from 1.5 to 7 dB depending on the signal frequency within the 0.05 to 20 MHz range. These results allow researchers and engineers to simulate and forecast the expected signal loss within BCC systems during their design phase.

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“…Human body communication (HBC) is a short-distance communication method that is suitable for wearable devices attached to the body. Many studies have supported the adoption of HBC by wearable devices for different purposes, ranging from communication channels to hardware implementations [1][2][3][4][5][6][7][8][9][10][11][12]. Although several studies have focused on the magnetic field HBC due to its low path loss and robustness to environmental noise, this study focuses on capacitive-coupled HBC because of its low hardware complexity and compact device size; hence, capacitive-coupled HBC is more suitable than magnetic field HBC for wearable devices.…”

Section: Introductionmentioning

confidence: 99%

A 0.9‐V human body communication receiver using a dummy electrode and clock phase inversion scheme

Kim

Kang

et al. 2022

ETRI Journal

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Channel Characterization of Magnetic Human Body Communication

Cited by 16 publications

References 46 publications

The Retrieval and Effect of Core Parameters for Near-Field Inter-Body Coupling Communication

The Retrieval and Effect of Core Parameters for Near-Field Inter-Body Coupling Communication

Human Body as a Signal Transmission Medium for Body-Coupled Communication: Galvanic-Mode Models

A 0.9‐V human body communication receiver using a dummy electrode and clock phase inversion scheme

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