학술논문
Analysis of chronically recorded autonomic nerve signals for the control of artificial heart systems
Document Type
Conference
Author
Source
Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology Joint EMBS-BMES conference Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint. 2:1577-1578 vol.2 2002
Subject
Language
ISSN
1094-687X
Abstract
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.