Molecular communication and the Internet of Nanothings (IoNT) are emerging research hotspots recently, which show great potential in biomedical applications inside the human body. However, how to transmit information from inside body IoNTs to outside devices is seldomly studied. It is well known that the nervous system is responsible for perceiving the external environment and controlling the feedback signals. It exactly works like an interface between the external and internal environment. Inspired by this, this article proposes a novel concept that one can use the modified nervous system to communicate between IoNT devices and in vitro equipments. In our proposed system, nanomachines transmit signals via stimulating the nerve fiber by the electrode. Then, the signals transmit along nerve fibers and muscle fibers. Finally, they cause changes in surface electromyography (sEMG) signals, which can be decoded by the body surface receiver. This article presents the framework of this entire through-body communication system. Each part of the framework is also mathematically modeled. The error probability and mutual information of the system are derived from the communication theory perspective, which are evaluated and analyzed through numerical results. This study can pave the way for the connection of IoNT in vivo to external networks.

中文翻译：

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IoNT接口系统的误差性能和互信息


分子通信和纳米物联网（IoNT）是近年来新兴的研究热点，在人体内的生物医学应用中显示出巨大的潜力。然而，如何将信息从体内 IoNT 传输到外部设备却很少被研究。众所周知，神经系统负责感知外部环境并控制反馈信号。它的工作原理就像外部和内部环境之间的接口。受此启发，本文提出了一种新颖的概念，即可以使用改良的神经系统在 IoNT 设备和体外设备之间进行通信。在我们提出的系统中，纳米机器通过电极刺激神经纤维来传输信号。然后，信号沿着神经纤维和肌肉纤维传输。最后，它们会引起表面肌电 (sEMG) 信号的变化，这些信号可以由体表接收器解码。本文介绍了整个全身通信系统的框架。该框架的每个部分也都经过数学建模。从通信理论的角度推导出系统的错误概率和互信息，并通过数值结果进行评估和分析。这项研究可以为体内IoNT与外部网络的连接铺平道路。