量化人类机动活动对检查睡眠-清醒周期的影响
Bálint Maczák1, Adél Zita Hordós1, Gergely Vadai1
1Department of Technical Informatics, University of Szeged, 6720 Szeged, Hungary.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
根据制造商的不同,Actigraphy设备的数据处理不同,这会影响睡眠-清醒周期分析. 协调这些方法对于从动图数据中获得可靠的临床见解至关重要.
科学领域:
- 生物医学工程 生物医学工程
- 时间生物学 时间生物学
- 睡眠科学 睡眠科学
背景情况:
- 动图是使用可穿戴传感器测量人类活动和睡眠-清醒模式的关键工具.
- 不同的动图设备制造商如何将原始加速数据处理成活动指标存在显著差异.
- 这些处理差异可能会影响昼夜节律和睡眠分析的结果.
研究的目的:
- 调查制造商特定的动图数据处理方法对非参数昼夜节律分析和睡眠-觉醒评分的影响.
- 为了比较数字过和数据压缩算法的效果,不同的动画画设备使用的数据压缩算法.
- 评估直接从原始加速数据中推导非参数指标的可行性,绕过活动压缩.
主要方法:
- 从可穿戴设备收集的原始动态图加速数据.
- 在收集的数据上模拟制造商特定的信号处理管道 (数字过,数据压缩).
- 在处理和原始数据上应用了非参数方法来分析昼夜节律和睡眠-清醒评分.
- 评估不同处理步骤对分析结果的影响.
主要成果:
- 取决于制造商的动图学方法有很大影响非参数的昼夜节律分析和睡眠-清醒评分.
- 观察到的效应可追溯到信号处理管道中的特定步骤,包括数据压缩和数字过.
- 从原始加速度数据直接导出指标是可能的,但仍然受初始处理选择的影响.
结论:
- 选择的动图学设备及其相关的信号处理显著影响睡眠和昼夜节律研究结果.
- 为了获得可靠和临床适用的结果,对动图数据处理的跨制造商协调至关重要.
- 需要标准化的方法来确保在动画学研究中的一致性和可比性.
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