慢性疲劳综合征患者活动模式的时间依赖复杂性表征
Paloma Rabaey1, Peter Decat2, Stefan Heytens2
1IDLab, Department of Information Technology, Ghent University - imec, Ghent, Belgium. paloma.rabaey@ugent.be.
BioPsychoSocial medicine
|April 2, 2024
概括
慢性疲劳综合征 (CFS) 患者在体育活动复杂性方面表现出显著的日常变化. 这种复杂性本身无法可靠地预测患者随着时间的推移而起作用,这表明当前监测方法的局限性.
科学领域:
- 复杂的自适应系统.
- 生理信号分析分析生理信号分析
- 自主神经系统功能自主神经系统功能
背景情况:
- 慢性疲劳综合征 (CFS) 症状缺乏单一的生物学原因,有些人将其与自主神经系统的破坏联系起来.
- 之前的研究发现,与对照人群相比,CFS患者的体育活动复杂性较低.
- 这项研究调查了患者内部的复杂性随时间变化,以评估方法的稳定性.
研究的目的:
- 扩展全米聚合方法,用于分析生理信号复杂性的时间变化.
- 探索患者内部复杂性变化与患者在CFS中的功能之间的关系.
主要方法:
- 使用扩展的全度聚合方法来量化碎形维度演变.
- 在3周内记录了7名CFS患者的体育活动模式.
- 收集了医生对每周患者功能评估的评估.
主要成果:
- 随着时间的推移,观察到活动复杂性的患者内部显著变化.
- 复杂度指标取决于评估的时间表.
- 对于大多数患者来说,复杂性和功能之间没有一致的每周相关性.
结论:
- 跨尺度和时间的分形维度的显著变化挑战了CFS单一静态复杂度指标的实用性.
- 仅仅体力活动的复杂性是不够的,以表征慢性郁症患者随着时间的推移高水平的功能.
- 复杂度指标作为CFS的独立客观监测工具的潜力有限.
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