在分级运动下对心脏系统自主调节的生理建模
Tao Wang1, JianKang Wu2, Fei Qin1
1University of Chinese Academy of Sciences, Beijing 101408, China.
Computer methods and programs in biomedicine
|March 17, 2025
概括
一个新的数学模型在运动期间非侵入性地评估自主神经系统 (ANS) 功能. 该工具量化了ANS活动,用于个性化的心血管疾病管理和早期检测.
科学领域:
- 生理学建模 生理学建模
- 心血管研究的心血管研究.
- 自主神经系统功能自主神经系统功能
背景情况:
- 自主神经系统 (ANS) 功能障碍在心血管疾病中至关重要.
- 量化ANS评估对于个性化医学至关重要.
- 目前的ANS测量方法往往是侵入性的和昂贵的.
研究的目的:
- 开发一种非侵入性的数学模型,用于在分级练习期间进行定量ANS功能评估.
- 使用生理学建模建立ANS功能个性化的测量方法.
主要方法:
- 在分级运动期间开发了心脏自主调节的生理数学模型.
- 使用的代谢相当于步行作为输入和心率作为输出.
- 从不同的健康状况和性别收集数据;采用曼-惠特尼U测试.
主要成果:
- 该模型准确地量化了不同健康状况和性别的ANS功能 (P <0.05).
- 实现了精确的心率估计,根平均平方误差为2.79bpm,R平方为0.93.
结论:
- 拟议的模型为ANS功能测量提供了一个非侵入性,用户友好的工具.
- 允许家用应用程序监测心血管健康和早期疾病检测.
- 支持心血管疾病的个性化管理,并改善临床决策.
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