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An Improved Mathematical Model for the Autonomic Regulation of Cardiovascular System

  • Yuanyuan Liu
  • Yingfei Sun
  • Zhipei HuangEmail author
  • Yu Meng
  • Jiankang Wu
  • Xinxia Cai
Conference paper
Part of the Internet of Things book series (ITTCC)

Abstract

The activity of the autonomic nervous system is hardly measurable. This study presents an improved mathematical model to estimate the baroreceptor nerve firing rate, the efferent parasympathetic and sympathetic response in a scenario of postural change from sitting to standing, based on observed blood pressure and heart rate changes. An optimization step is then applied to find the model parameters best fitting to observed cardiac data of healthy people and hypertensive patients using unbiased estimation and Nelder-Mead method. The experimental results on 59 subjects have shown that the improved model can describe autonomic regulation mechanism well and the estimated system parameters have clear clinical meaning.

Keywords

Autonomic nervous regulation Heart rate Baroreceptor reflex control Parasympathetic and sympathetic activity Cost function 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yuanyuan Liu
    • 1
    • 2
  • Yingfei Sun
    • 1
    • 2
  • Zhipei Huang
    • 1
    • 2
    Email author
  • Yu Meng
    • 1
    • 2
  • Jiankang Wu
    • 1
    • 2
  • Xinxia Cai
    • 1
    • 2
  1. 1.School of ElectronicElectrical and Communication Engineering, University of Chinese Academy of SciencesBeijingChina
  2. 2.Institute of Electronics, Chinese Academy of SciencesBeijingChina

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