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 algorisms 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.
| Original language | English |
|---|---|
| Pages (from-to) | 1577-1578 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| Publication status | Published - 2002 |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: 2002 Oct 23 → 2002 Oct 26 |
Keywords
- Artificial heart
- Autonomic nervous system
- Neural control
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics