皮肤神经活动的复杂性分析用于对急性交感神经系统激活的定量评估
Youngsun Kong1, Yubin Choi2, Farnoush Baghestani1
1Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
皮肤神经活动 (SKNA) 度量可以识别交感神经系统 (SNS) 激活. SKNA的复杂性分析有效地区分了牙科患者的疼痛水平和焦虑,有助于评估SNS反应.
科学领域:
- 生理学 生理学 生理学
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
背景情况:
- 皮肤神经活动 (SKNA) 作为同情神经系统 (SNS) 活动的非侵入性指标.
- 以前的研究主要集中在基于振幅的测量,可能忽视了与复杂性相关的有价值信息.
研究的目的:
- 调查综合SKNA (iSKNA) 和时间变化的SKNA (TVSKNA) 衍生的基于复杂性的指标在区分SNS激活中的有效性.
- 在实验环境和临床牙科人群中评估这些指标,考虑疼痛强度和焦虑程度.
主要方法:
- 使用实验协议 (瓦尔萨尔瓦机动,热烤) 和临床牙科记录 (冷检测).
- 计算了各种复杂度指标,包括近似,样本,Hjorth移动性/复杂性,卡茨分数维度和标准偏差.
- 用人接收器操作特征 (ROC) 分析以评估歧视能力,将临床显著疼痛 (CSP+) 定义为VAS分数≥4.
主要成果:
- 实验任务表明SNS激活的大到巨大的效应 (科恩d = 1.93-3.46) 和疼痛差异化的中等到大效应 (手下手下手 = 0.63-0.71).
- ROC分析显示,基线和疼痛之间存在强烈的歧视 (AUC 0.80-0.99),但相邻疼痛水平之间的分离有限 (AUC 0.56-0.64).
- 在临床数据中,在没有疼痛与CSP+之间,差别是最高的 (Raddysofa = 0.86-1.17),在严重焦虑子组中表现优越 (AUC 0.81-0.96).
结论:
- 来自SKNA的复杂度指标可以有效地描述短期SNS激活.
- 结合基于大小和复杂性的描述符,为在生理和临床环境中评估SNS反应提供了一个强大的方法.
- 这些发现凸显了先进的SKNA分析在牙科及其他领域客观评估疼痛和焦虑的潜力.
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