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Functionality of the baroreceptor nerves in heart rate regulation.

机译:压力感受器神经在心率调节中的功能。

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摘要

Two models describing the afferent baroreceptor firing are analyzed, a basic model predicting firing using a single nonlinear differential equation, and an extended model, coupling K nonlinear responses. Both models respond to the the rate (derivative) and the rate history of the carotid sinus arterial pressure. As a result both the rate and the relative level of the carotid sinus arterial pressure is sensed. Simulations with these models show that responses to step changes in pressure follow from the rate sensitivity as observed in experimental studies. Adaptation and asymmetric responses are a consequence of the memory encapsulated by the models, and the nonlinearity gives rise to sigmoidal response curves. The nonlinear afferent baroreceptor models are coupled with an effector model, and the coupled model has been used to predict baroreceptor feedback regulation of heart rate during postural change from sitting to standing and during head-up tilt. The efferent model couples the afferent nerve paths to the sympathetic and parasympathetic outflow, and subsequently predicts the build up of an action potential at the sinus knot of the heart. In this paper, we analyze the nonlinear afferent model and show that the coupled model is able to predict heart rate regulation using blood pressure data as an input.
机译:分析了描述传入压力感受器发射的两个模型,一个使用单个非线性微分方程预测发射的基本模型,以及耦合K个非线性响应的扩展模型。两种模型都对颈动脉窦动脉压力的比率(导数)和比率历史做出响应。结果,同时感测到了颈动脉窦动脉压的比率和相对水平。这些模型的仿真表明,对压力阶跃变化的响应来自实验研究中观察到的速率敏感性。自适应和非对称响应是模型封装的内存的结果,并且非线性会产生S型响应曲线。非线性传入压力感受器模型与效应器模型耦合,并且该耦合模型已用于预测从坐姿到站立姿势以及抬头向上倾斜期间心率的压力感受器反馈调节。传入模型将传入神经路径耦合到交感神经和副交感神经外流,并随后预测心脏窦房结处动作电位的建立。在本文中,我们分析了非线性传入模型,并表明耦合模型能够使用血压数据作为输入来预测心率调节。

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