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心肺呼吸系统时间变化的相互作用中的生理噪音.

Dushko Lukarski1,2, Dushko Stavrov3, Tomislav Stankovski1,4

  • 1Faculty of Medicine, Ss. Cyril and Methodius University in Skopje, 1000 Skopje, North Macedonia.

Entropy (Basel, Switzerland)
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概括

本研究介绍了一种检测生物系统中的生理噪声的方法,成功地将其应用于心肺呼吸信号,并发现与呼吸变化相关的独特噪声模式.

关键词:
贝叶斯的推理 贝叶斯的推理生物振荡是生物的振荡.心脏呼吸系统 呼吸系统合振荡器的合振荡器噪音 噪音 噪音 噪音非线性动力学的非线性动态生理学噪音是指生理学的噪音.随机的过程是随机的过程.时间变化的呼吸呼吸.

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科学领域:

  • 生理学 生理学 生理学
  • 复杂的系统复杂的系统.
  • 统计建模 统计建模

背景情况:

  • 生理系统是动态的,容易受到干扰.
  • 动态噪声可以在生物系统中诱导显著的变化和过渡.
  • 了解和量化生理噪声对于分析系统行为至关重要.

研究的目的:

  • 开发一种检测和提取生物振荡系统动态生理噪声的方法.
  • 在分析噪音时,考虑生物系统内的时间变化的动态.
  • 应用和验证该方法在各种呼吸模式下的心肺呼吸信号.

主要方法:

  • 利用动态贝叶斯推理来建模随机微分方程.
  • 专注于相互作用的振荡器的相位动态.
  • 将框架应用于有控制的呼吸变化 (自发,正弦,斜坡,无周期) 的心肺呼吸数据.

主要成果:

  • 在不同呼吸模式中,对呼吸动态的生理噪声有显著的差异.
  • 观察到扰乱呼吸并没有通过相互作用将其影响转移到心脏动态的动态噪声.
  • 心脏-呼吸系统应用验证了方法框架的潜力.

结论:

  • 开发的方法有效地检测和量化时间变化的生物系统中的动态生理噪声.
  • 呼吸模式显著影响呼吸道生理噪音,但不能影响心脏噪音.
  • 该框架广泛适用于噪声分析的其他生理系统.