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年轻健康人群静息状态下基于呼吸信号的心率预测模型

Predictive Modeling of Heart Rate from Respiratory Signals at Rest in Young Healthy Humans.

作者信息

Gómez Carlos M, Muñoz Vanesa, Muñoz-Caracuel Manuel

机构信息

Human Psychobiology Laboratory, Experimental Psychology Department, University of Seville, 41018 Seville, Spain.

Hospital Universitario Virgen del Rocio, 41013 Seville, Spain.

出版信息

Entropy (Basel). 2024 Dec 11;26(12):1083. doi: 10.3390/e26121083.

DOI:10.3390/e26121083
PMID:39766712
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11675163/
Abstract

Biological signals such as respiration (RSP) and heart rate (HR) are oscillatory and physiologically coupled, maintaining homeostasis through regulatory mechanisms. This report models the dynamic relationship between RSP and HR in 45 healthy volunteers at rest. Cross-correlation between RSP and HR was computed, along with regression analysis to predict HR from RSP and its first-order time derivative in continuous signals. A simulation model tested the possibility of replicating the RSP-HR relationship. Cross-correlation results showed a time lag in the sub-second range of these signals (849.21 ms ± SD 344.84). The possible modulation of HR by RSP was mediated by the RSP amplitude and its first-order time derivative (in 45 of 45 cases). A simulation of this process allowed us to replicate the physiological relationship between RSP and HR. These results provide support for understanding the dynamic interactions in cardiorespiratory coupling at rest, showing a short time lag between RSP and HR and a modulation of the HR signal by the first-order time derivative of the RSP. This dynamic would optionally be incorporated into dynamic models of resting cardiopulmonary coupling and suggests a mechanism for optimizing respiration in the alveolar system by promoting synchrony between the gases and hemoglobin in the alveolar pulmonary system.

摘要

呼吸(RSP)和心率(HR)等生物信号具有振荡性且在生理上相互耦合,通过调节机制维持体内平衡。本报告对45名静息状态下的健康志愿者的RSP和HR之间的动态关系进行了建模。计算了RSP和HR之间的互相关,并进行了回归分析,以根据RSP及其在连续信号中的一阶时间导数预测HR。一个模拟模型测试了复制RSP-HR关系的可能性。互相关结果显示这些信号在亚秒范围内存在时间滞后(849.21毫秒±标准差344.84)。RSP对HR的可能调节由RSP幅度及其一阶时间导数介导(45例均如此)。对这一过程的模拟使我们能够复制RSP和HR之间的生理关系。这些结果为理解静息状态下心肺耦合中的动态相互作用提供了支持,显示了RSP和HR之间的短时间滞后以及HR信号受RSP一阶时间导数的调节。这种动态情况可选择性地纳入静息心肺耦合的动态模型中,并提示了一种通过促进肺泡肺系统中气体与血红蛋白之间的同步来优化肺泡系统呼吸的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/20109fd14c2f/entropy-26-01083-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/8d29f2332579/entropy-26-01083-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/20109fd14c2f/entropy-26-01083-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/8d29f2332579/entropy-26-01083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/6670ca3866ed/entropy-26-01083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/f2b682491399/entropy-26-01083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/0855c10e33b4/entropy-26-01083-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c07/11675163/20109fd14c2f/entropy-26-01083-g007.jpg

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