从智能手机数据中轻松地推断出白天节律
Loran Knol1,2,3,4, Mindy K Ross5,6, Anisha Nagpal5
1Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands. loran.knol@donders.ru.nl.
NPJ digital medicine
|December 24, 2025
概括
这项研究引入了使用智能手机追踪日常节律的数字表型框架,这对于理解心理健康状况至关重要. 该方法成功预测睡眠时间,并在现实场景中分析节律变化.
科学领域:
- 时间生物学 时间生物学
- 数字化表型化是指数字化表型化.
- 心理病理学 心理病理学
背景情况:
- 白天节律对心理健康至关重要,但很难在规模上进行测量.
- 智能手机提供了一个无处不在的平台,用于对生物节奏进行非侵入性,持续的监测.
研究的目的:
- 开发和验证数字表型框架,用于量化昼夜节律.
- 评估框架在预测睡眠时间和分析节律相位变化方面的实用性.
主要方法:
- 利用智能手机打字动态来量化白天节律.
- 将框架应用于临床门诊样本和一年长的纵向数据集.
- 在时区转换期间分析节奏阶段.
主要成果:
- 从智能手机打字数据成功预测睡眠时间.
- 量化昼间节律阶段及其在临床和纵向数据中的变化.
- 在时区转换期间观察到节奏相位变化.
结论:
- 拟议的数字表型化框架有效量化了白天节律.
- 基于智能手机的数字表型是心理健康研究中生物节律的大规模监测的可行工具.
- 这种方法为心理病理学的时代生物学提供了新的见解.
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