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Development of a physiologically effective control system for an artificial heart based on autonomic nerve activity

基于自主神经活动的人工心脏生理有效控制系统的开发

基本信息

批准号：
12308045
负责人：
NITTA Shin-ichi
金额：
$ 25.4万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2003
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12308045/
关键词：
vagal nerve activity autonomic nerve artificial heart control awake 迷走神経長期記録

项目摘要

In recent years, the application of Ventricular Assist Devices (VAD) has been gradually expanded due to the lack of heart donors and increasing morbidity of cardiovascular diseases. However, there hasn't been an established method for controlling VAD/Total Artificial Heart (TAH) system which can provide physiologically effective circulatory support for a prolonged period of time.Although most investigators adopted an approach to controlling VAD/TAH according to cardiac output or aortic pressure, these conventional methods are not fully reflecting circulatory responses and are reported to occur long-term complications such as thyroid dysfunction or increased central venous pressure.To solve this issue, we newly developed a biocompatible stainless-steel neural interface and successfully recorded autonomic nerve activity of an awake VAD-implanted goat for more than a month. Then we applied fractal dimension analysis, a non-linear analysis method suitable for evaluating complicated biological information, to quantify the changes in autonomic nerve activities.As a result, shifts of the fractal dimension of autonomic nerve activity were observed in response to the changes in circulatory dynamics and posture of animals. Based on the analysis of recorded autonomic nerve activities, a real-time VAD/TAH control system by using fractal analysis-based feedback control algorithm was constructed. Now we attempt to examine the validity of this algorithm and improve it through animal experiments.

近年来，由于心脏供体的缺乏和心血管疾病发病率的增加，心室辅助装置（VAD）的应用逐渐扩大。然而，目前还没有一种既定的方法来控制VAD/全人工心脏（TAH）系统，能够长时间提供生理上有效的循环支持。尽管大多数研究者采用了根据心输出量或主动脉压来控制VAD/TAH的方法，但这些常规方法并不能完全反映循环反应，并且据报道会发生甲状腺功能障碍或中心静脉压升高等长期并发症。为了解决这个问题，我们新开发了一种生物相容性不锈钢神经接口，并成功记录了清醒的植入VAD的山羊一个多月的自主神经活动。然后，我们应用分形维数分析（一种适合评估复杂生物信息的非线性分析方法）来量化自主神经活动的变化。结果，观察到自主神经活动的分形维数随着动物循环动力学和姿势的变化而变化。基于对记录的自主神经活动的分析，采用基于分形分析的反馈控制算法构建了实时VAD/TAH控制系统。现在我们尝试通过动物实验检验该算法的有效性并对其进行改进。