A model-based method to evaluate autonomic regulation of cardiovascular system

Wang, Lang; Huang, Zhipei; Wu, Jiankang; Meng, Yu; Ding, Rongjing

doi:10.1109/bsn.2015.7299374

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…In addition, parasympathetic withdrawal leads to decreased release of acetylcholine which also causes the increase of HR. This whole ANS regulation process can be described by a mathematical model [29, 38].…”

Section: Brs Sna and Pna In Orthostatic Testing Scenariomentioning

confidence: 99%

Quantitative Assessment of Autonomic Regulation of the Cardiac System

Huang

Zhang

et al. 2019

Journal of Healthcare Engineering

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Autonomic neural system (ANS) regulates the circulation to provide optimal perfusion of every organ in accordance with its metabolic needs, and the quantitative assessment of autonomic regulation is crucial for personalized medicine in cardiovascular diseases. In this paper, we propose the Dystatis to quantitatively evaluate autonomic regulation of the human cardiac system, based on homeostatis and probabilistic graphic model, where homeostatis explains ANS regulation while the probability graphic model systematically defines the regulation process for quantitative assessment. The indices and measurement methods for three well-designed scenarios are also illustrated to evaluate the proposed Dystatis: (1) heart rate variability (HRV), blood pressure variability (BPV), and respiration synchronization (Synch) in resting situation; (2) chronotropic competence indices (CCI) in graded exercise testing; and (3) baroreflex sensitivity (BRS), sympathetic nerve activity (SNA), and parasympathetic nerve activity (PNA) in orthostatic testing. The previous clinical results have shown that the proposed method and indices for autonomic cardiac system regulation have great potential in prediction, diagnosis, and rehabilitation of cardiovascular diseases, hypertension, and diabetes.

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Section: Brs Sna and Pna In Orthostatic Testing Scenariomentioning

confidence: 99%

Quantitative Assessment of Autonomic Regulation of the Cardiac System

Huang

Zhang

et al. 2019

Journal of Healthcare Engineering

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An Improved Mathematical Model for the Autonomic Regulation of Cardiovascular System

et al. 2018

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A model-based method to measure baroreflex sensitivity

Meng

Huang

et al. 2016

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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This paper proposes a model-based method to quantitatively measure baroreflex sensitivity in autonomic nervous regulation of cardiovascular system. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models dynamics of the baroreflex firing rate, solves parameters by optimization of measured blood pressure and heart rate variations. With this model, we can get the baroreflx sensitivity (BRS) inner indicators to evaluate the status of the autonomic nervous regulation system. Experimental results have shown the validation of the quantitative measures and the effectiveness of the method.

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A model-based method to evaluate autonomic regulation of cardiovascular system

Cited by 4 publications

References 13 publications

Quantitative Assessment of Autonomic Regulation of the Cardiac System

Quantitative Assessment of Autonomic Regulation of the Cardiac System

An Improved Mathematical Model for the Autonomic Regulation of Cardiovascular System

A model-based method to measure baroreflex sensitivity

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