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评估痴呆症和一般人口队伍的睡眠模式,使用被动的家庭监控技术
Louise Rigny1,2, Nan Fletcher-Lloyd3,4, Alex Capstick3,4
1Department of Brain Sciences, Imperial College London, London, UK. lr22@ac.ic.uk.
Communications medicine
|November 1, 2024
概括
通过在家进行的被动监测,在患有痴呆症的人群 (PLWD) 中发现了不同的睡眠模式. 这项技术为早期检测和监测痴呆症相关睡眠变化提供了一种可行的方法.
科学领域:
- 老年学是一门学科.
- 睡眠医学 睡眠医学
- 数字健康数字健康
背景情况:
- 夜间干扰在患有痴呆症的人群 (PLWD) 中很常见,通常是在诊断之前.
- 实验室环境中的传统睡眠研究是昂贵且不自然的.
- 家庭夜间监控提供了一个低成本的,被动的,常规维护的替代方案.
研究的目的:
- 调查家庭夜间监测对识别PLWD睡眠模式的有用性.
- 探索在现实环境中被动数据收集的潜力.
- 检测与痴呆症相关的不同睡眠表型.
主要方法:
- 在被动收集的睡眠数据上使用集群分析.
- 包括来自Minder研究 (PLWD) 和一般人口数据集 (>9500人夜) 的数据.
- 员工无监督的集群和分析,以确定睡眠模式的子组.
主要成果:
- 确定了三个不同的睡眠集群.
- 一个群体主要包括PLWD (72%),平均年龄更高 (77.96).
- 与一般人群相比,这个群体在入睡后的觉醒时间增加,REM/NREM睡眠时间减少.
结论:
- 结果表明可以检测到痴呆症特定的睡眠表型.
- 消极数字技术显示出监控PLWD的潜力.
- 该研究证实了使用家庭技术用于疾病监测和检测睡眠结构变化的可行性.
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