基于女性轮班工人的心率变化来评估心血管压力:一种多尺度多分体分析方法
Raquel Delgado-Aranda1, Guadalupe Dorantes-Méndez1, Anna Maria Bianchi2
1Facultad de Ciencias, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico.
Frontiers in neuroergonomics
|May 24, 2024
概括
轮班工作在睡眠期间破坏心率变化 (HRV) 断面模式,表明自主神经系统受到压力. 这些发现凸显了轮班工人的微妙心血管变化,影响了健康.
科学领域:
- 心脏病学 心脏病学
- 生理学 生理学 生理学
- 复杂系统分析 复杂系统分析
背景情况:
- 轮班工作扰乱昼夜节律,可能导致心血管压力.
- 心率变化 (HRV) 反映了自主神经系统的功能,并表现出复杂的碎形模式.
- HRV折叠率的变化与各种健康状况有关,包括心血管疾病和压力.
研究的目的:
- 调查轮班和非轮班工人睡眠期间HRV的多分体多尺度结构.
- 通过HRV分析,识别与轮班工作相关的潜在心血管压力指标.
- 了解轮班工作如何影响自主神经系统的调节机制.
主要方法:
- 对健康轮班工人 (n=11) 和非轮班工人 (n=7) 的全睡眠HRV信号的分析.
- 使用实证模式分解将HRV信号分解为内在模式函数 (IMFs).
- 应用多尺度-多分形决定波动分析 (MMF-DFA) 来评估自我相似系数 (α(q, τ)) 并计算多分形指数 (MFI(τ)).
主要成果:
- 轮班工作者在高频和低频HRV组件的短尺度 (<64秒) 上表现出增加的缩放指数 (α(q, τ)).
- 在IMF3组件中,在轮班工人中观察到大尺度 (> 1,024秒) 的α ((q, τ) 的下降.
- 多分位指数 (MFI(τ)) 在轮班工人的IMF中显示了小规模的价值增加和大规模的价值下降.
结论:
- 轮班工作与睡眠期间HRV的碎形性质的显著变化有关,特别是在较短的时间尺度上.
- 这些HRV变化表明,由于轮班工作引起的心血管压力,自主神经系统调节受到干扰.
- 这项研究强调了多分体分析在检测传统HRV指标之外的微妙生理变化的实用性.
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