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System identification of neural cardiovascular control mechanisms.

机译:系统识别神经心血管控制机制。

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摘要

One of the most important functions of neural cardiovascular regulation is to maintain arterial blood pressure (ABP) within a narrow range in order to protect blood flow to the brain, heart and other vital organs. The autonomic nervous system is primarily responsible for extrinsic cardiovascular regulation over short time scales of seconds to minutes usually through mediation of the arterial and cardiopulmonary baroreflex. When changes in ABP or central venous pressure increase/decrease the stretch of the arterial or cardiopulmonary baroreceptors and afferent signals are transmitted to the brain, the brain responds to keep ABP near its normal operating level by adjusting heart rate (HR), ventricular contractility (VC), total peripheral resistance (TPR) and systemic venous unstressed volume. Improper functioning of the neural cardiovascular control mechanisms could cause numerous diseases such as postural tachycardia syndrome, congestive heart failure and diabetic autonomic neuropathy. Therefore, it is important to be able to quantify neural cardiovascular regulation in order to better understand its functioning in both health and disease and to guide patient therapy.;The research addressed in this dissertation is an effort to quantitatively characterize the neural cardiovascular control mechanisms via system identification and advanced signal processing techniques. We derived specific parasympathetic and sympathetic nervous system indices from identified HR baroreflex impulse response via non-invasive cardio-respiratory variability, developed a model-based technique to estimate the arterial TPR baroreflex impulse response through potentially non-invasive measurements, and investigated the dynamic control mechanisms of VC via the baroreflex and force-frequency relation. Our results, obtained from animal/human experiments and as well as realistic computer simulated data, either correctly predict the known effects after autonomic interventions or provide new insight in the neural cardiovascular regulation.
机译:神经心血管调节的最重要功能之一是将动脉血压(ABP)维持在狭窄范围内,以保护流向大脑,心脏和其他重要器官的血液。自主神经系统主要负责在几秒至几分钟的短时间内进行外部心血管调节,通常是通过动脉和心肺压力反射的介导。当ABP的变化或中心静脉压的增/减使动脉或心肺压力感受器的舒张以及传入的信号传递到大脑时,大脑会通过调节心率(HR),心室收缩性( VC),总外周阻力(TPR)和全身静脉无应力容积。神经心血管控制机制的功能不当可能导致多种疾病,例如姿势性心动过速综合征,充血性心力衰竭和糖尿病性自主神经病变。因此,重要的是能够量化神经心血管调节,以更好地了解其在健康和疾病中的功能并指导患者治疗。本论文致力于通过神经系统调节神经系统心血管调节机制的定量研究。系统识别和先进的信号处理技术。我们通过非侵入性心脏呼吸变异性从确定的HR压力反射反应中得出特定的副交感神经和交感神经系统指标,开发了一种基于模型的技术,通过潜在的非侵入性测量来估算动脉TPR压力反射反应,并研究了动态控制VC通过压力反射和力-频率关系的机理。我们的结果来自动物/人体实验以及真实的计算机模拟数据,可以正确预测自主神经干预后的已知作用,也可以为神经心血管调节提供新的见解。

著录项

  • 作者

    Chen, Xiaoxiao.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Engineering Biomedical.;Biology Physiology.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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