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Theoretical Aspects of Resting-State Cardiomyocyte Communication for Multi-Nodal Nano-Actuator Pacemakers

机译:多结点纳米驱动器起搏器静息状态心肌通讯的理论方面。

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摘要

The heart consists of billions of cardiac muscle cells—cardiomyocytes—that work in a coordinated fashion to supply oxygen and nutrients to the body. Inter-connected specialized cardiomyocytes form signaling channels through which the electrical signals are propagated throughout the heart, controlling the heart’s beat to beat function of the other cardiac cells. In this paper, we study to what extent it is possible to use ordinary cardiomyocytes as communication channels between components of a recently proposed multi-nodal leadless pacemaker, to transmit data encoded in subthreshold membrane potentials. We analyze signal propagation in the cardiac infrastructure considering noise in the communication channel by performing numerical simulations based on the Luo-Rudy computational model. The Luo-Rudy model is an action potential model but describes the potential changes with time including membrane potential and action potential stages, separated by the thresholding mechanism. Demonstrating system performance, we show that cardiomyocytes can be used to establish an artificial communication system where data are reliably transmitted between 10 s of cells. The proposed subthreshold cardiac communication lays the foundation for a new intra-cardiac communication technique.
机译:心脏由数十亿个心肌细胞(心肌细胞)组成,它们以协调的方式工作,为身体提供氧气和营养。相互连接的专用心肌细胞形成信号通道,电信号通过该信号通道在整个心脏中传播,从而控制心脏的搏动以搏动其他心肌细胞的功能。在本文中,我们研究了在何种程度上可以使用普通心肌细胞作为最近提出的多节点无铅起搏器组件之间的通信通道,以传输亚阈值膜电位编码的数据。我们通过执行基于Luo-Rudy计算模型的数值模拟来分析考虑通信通道中噪声的心脏基础设施中的信号传播。 Luo-Rudy模型是一个动作电位模型,但描述了随时间变化的电位,包括膜电位和动作电位阶段,并由阈值机制分开。展示系统性能,我们表明心肌细胞可用于建立一种人工通信系统,在该系统中,数据可以在10 s个细胞之间可靠地传输。拟议的阈下心脏通信技术为新的心脏内部通信技术奠定了基础。

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