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A Communication Link Analysis Based on Biological Implant Wireless Body Area Networks

机译：基于生物植入无线人体局域网的通信链路分析

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摘要

The rapid growth in remote healthcare services and biomedical demands has seen novel developments in wireless body area networks (WBANs). The WBAN can be seen as an integration of intelligent networks, which permits devices and sensors to work together to obtain a series of critical physiological parameters, such as blood flow velocity and heartbeat frequency. Analysis of WBAN radio frequency communication systems is the key factor and the critical research challenge that determines system performance, such as achievable transmission distance, data rate and so forth. The human head is an area of particular potential in WBAN design that is worthy of attracting more attention than its limited literature to date. This paper is primarily focused on the one of the most detailed comprehensive multi-modal imaging-based anatomical human head models. This is a multimodal imaging-based detailed anatomical model, denoted by the acronym MIDA, this features 153 structures at a high resolution of up to 500 mu m, including numerous distinct muscles, bones and skull layers in the license-free 2.4 GHz industrial, scientific, and medical (ISM) band. It presents and compares a set of advanced simulation methods and then proposes a path loss simulation flat phantom, semi-empirical path loss models for typical homogeneous tissues and the anatomical human head MIDA model. The bit error rate (BER) performances of the MIDA model fading channel using binary phase shift keying (BPSK) and pulse-amplitude modulation (PAM) are obtained. Furthermore, achievable transmission distances for several data rates for predetermined acceptable BERs are accomplished. The results show that PAM promises longer transmission distances than BPSK when using both high and low data rates. The proposed communication systems can be applied to optimize implantation communication system scenarios and biotelemetry applications.
机译：远程医疗保健服务和生物医学需求的快速增长已见证了无线人体局域网（WBAN）的新发展。 WBAN可以看作是智能网络的集成，它允许设备和传感器一起工作以获得一系列关键的生理参数，例如血流速度和心跳频率。 WBAN射频通信系统的分析是决定系统性能（例如可实现的传输距离，数据速率等）的关键因素和关键的研究挑战。人头是WBAN设计中特别有潜力的领域，比迄今为止的有限文献值得吸引更多关注。本文主要侧重于最详细的，基于多模式成像的解剖学人体头部模型之一。这是一个基于多模式成像的详细解剖模型，缩写为MIDA，具有153个结构，分辨率高达500微米，包括免许可证的2.4 GHz工业设备中的许多不同的肌肉，骨骼和头骨层，科学和医学（ISM）频段。它提出并比较了一组高级仿真方法，然后提出了针对典型均质组织的路径损耗模拟平面模型，半经验路径损耗模型和人体解剖学MIDA模型。获得了使用二进制相移键控（BPSK）和脉冲幅度调制（PAM）的MIDA模型衰落信道的误码率（BER）性能。此外，对于预定的可接受的BER，实现了几种数据速率的可达到的传输距离。结果表明，当同时使用高和低数据速率时，PAM保证比BPSK更长的传输距离。所提出的通信系统可以被用于优化植入通信系统场景和生物遥测应用。

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