在自发呼吸,运动和精神压力期间,在中同时进行呼吸和循环测量:一种计算方法
Masami Iwamoto1, Satoko Hirabayashi1, Noritoshi Atsumi1
1Human Science Research-Domain, Toyota Central R&D Labs., Inc., Nagakute, Japan.
PLoS computational biology
|December 17, 2024
概括
这项研究引入了一个计算模型来预测对呼吸,运动和压力的生理反应. 该模型准确模拟呼吸率,心率和血压,提供对个人差异和健康状况的洞察.
科学领域:
- 计算生理学计算生理学
- 系统生物学 系统生物学
- 人类生理学建模
背景情况:
- 自发呼吸 (VB),短期运动 (STE) 和精神压力 (MS) 显著影响呼吸率 (BR),心率 (HR) 和血压 (BP) 等生理参数.
- 对这些影响的现有研究由于个体变化和测量挑战而分散.
- 需要一种统一的计算方法来同时预测生理反应.
研究的目的:
- 开发和验证一个集成的计算模型,用于同时预测呼吸和循环系统的反应.
- 研究VB,STE和MS对生理参数和心率变化 (HRV) 的影响.
- 探索在生理反应中的个体差异背后的机制.
主要方法:
- 开发了一种结合呼吸和循环系统的综合模型,使用关键演员强化学习来控制呼吸肌肉.
- 通过桃体电输入引入了特定参数来模拟非自愿呼吸,运动诱导的高通风和精神压力.
- 对各种VB模式,STE条件和MS负载的文献数据进行了模型预测的验证.
主要成果:
- 该模型与不同条件下的BR,潮体积,分钟通风,HR和BP的实验数据有很好的一致性.
- 还实现了HRV指数的预测,包括总功率光谱密度和Poincaré图形圆面积.
- 缓慢的深呼吸 (每分钟6次) 已被证明可以增加HRV,促进放松,而MS提高了BP和降低了HRV,表明生理不稳定.
结论:
- 计算方法可以同时准确地预测关键的生理价值,同时考虑个体变化.
- 该模型是探索生理机制和了解外部刺激对人类健康的影响的宝贵工具.
- 研究结果突出了放松技巧 (缓慢呼吸) 与压力的独特生理效应,这对精神和身体健康有影响.
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