在COVID-19患者中降低氧和可变性信号的复杂性:对心肺呼吸系统控制的影响
Madini O Alassafi1, Wajid Aziz2, Rayed AlGhamdi1
1Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Journal of infection and public health
|February 20, 2024
概括
COVID-19 疾病显著减少了氧和变化 (OSV) 信号中的心肺呼吸系统复杂性. 对OSV的 entropy分析揭示了在COVID-19后恢复的患者中监测心肺呼吸控制的潜力.
科学领域:
- 生理学 生理学 生理学
- 复杂性科学 复杂性科学
- 医疗信息学 医疗信息学
背景情况:
- COVID-19是一种导致严重心肺呼吸系统并发症的呼吸系统疾病.
- 值分析是一种监测健康和疾病的生理动态的工具.
- 对COVID-19患者的管理,对心肺呼吸系统控制的评估至关重要.
研究的目的:
- 分析COVID-19患者氧和变化 (OSV) 信号的复杂性.
- 通过基于尺度的度测量来评估心肺呼吸控制.
- 为了比较疾病期间和康复后两个月的OSV复杂性.
主要方法:
- 一项涉及44名COVID-19患者的前性研究.
- 使用脉冲氧计收集了SpO2和脉冲率数据.
- 应用基于尺度的分析 (MSE,MPE,MFE) 对OSV信号.
主要成果:
- 平均OSV在疾病 (95.08%) 和康复后 (95.59%) 之间有显著差异.
- 在所有时间尺度上,在COVID-19疾病期间观察到较低的值.
- 在疾病和康复阶段之间,发现了复杂性的显著差异.
结论:
- 减少OSV信号的复杂性表明COVID-19患者的心肺呼吸系统控制功能障碍.
- 使用度测量的OSV复杂性分析可以检测心肺呼吸系统问题.
- OSV信号显示出评估和监测COVID-19恢复的潜在指标.
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