长期记录的自主神经信号分析用于人工心脏系统的控制

T. Suzuki, M. Mitsui, T. Isoyama, I. Saito, A. Wagatsuma, M. Ohkura, T. Chinzei, K. Imachi, K. Mabuchi
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引用次数: 2

摘要

为了实现由自主神经信号控制的人工心脏系统,我们研究了长期稳定记录自主神经信号的方法以及利用自主神经信号控制人工心脏的方法。在这项研究中,我们重点研究了从记录的神经信号生成人工心脏系统控制命令的算法。我们长期记录了山羊心脏交感神经和迷走神经的信号以及主动脉压等循环参数,分析这些信号的结果表明了人工心脏系统神经控制的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of chronically recorded autonomic nerve signals for the control of artificial heart systems
In order to realize an artificial heart system capable of being controlled by autonomic nervous signals, we have studied the methods of long-term stable recording of autonomic nervous signals as well as methods to control an artificial heart by these signals. In this study, we have focused on algorithms to generate the control commands to an artificial heart system from recorded neural signals. We have chronically recorded signals from a goat's cardiac sympathetic nerve and vagal nerve and circulation parameters such as aortic pressure, and results of the analysis of these signals showed the feasibility of the neural control of artificial heart systems.
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