Sensor Networks and Application Research Center, University of Chinese Academy of Sciences, Beijing 101408, China.
Sensor Networks and Application Research Center, University of Chinese Academy of Sciences, Beijing 101408, China.
Methods. 2022 Aug;204:312-318. doi: 10.1016/j.ymeth.2022.04.008. Epub 2022 Apr 18.
Autonomic dysfunction can lead to many physical and psychological diseases. The assessment of autonomic regulation plays an important role in the prevention, diagnosis, and treatment of these diseases. A physiopathological mathematical model for cardiopulmonary autonomic regulation, namely Respiratory-Autonomic-Sinus (RSA) regulation Model, is proposed in this study. A series of differential equations are used to simulate the whole process of RSA phenomenon. Based on this model, with respiration signal and ECG signal simultaneously acquired in paced deep breathing scenario, we manage to obtain the cardiopulmonary autonomic regulation parameters (CARP), including the sensitivity of respiratory-sympathetic nerves and respiratory-parasympathetic nerves, the time delay of sympathetic, the sensitivity of norepinephrine and acetylcholine receptor, as well as cardiac remodeling factor by optimization algorithm. An experimental study has been conducted in healthy subjects, along with subjects with hypertension and coronary heart disease. CARP obtained in the experiment have shown their clinical significance.
自主功能障碍可导致许多身心疾病。自主调节的评估在这些疾病的预防、诊断和治疗中起着重要作用。本研究提出了一种心肺自主调节的病理生理数学模型，即呼吸-自主-窦（RSA）调节模型。该模型使用一系列微分方程来模拟 RSA 现象的全过程。基于该模型，在 paced deep breathing 场景中同时获取呼吸信号和 ECG 信号，我们通过优化算法获得了心肺自主调节参数（CARP），包括呼吸交感神经和呼吸副交感神经的敏感性、交感神经的时滞、去甲肾上腺素和乙酰胆碱受体的敏感性以及心脏重构因子。在健康受试者、高血压和冠心病患者中进行了实验研究。实验中获得的 CARP 表现出了其临床意义。
