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Time Alignment as a Necessary Step in the Analysis of Sleep Probabilistic Curves

机译：时间对齐是睡眠概率曲线分析中的必要步骤

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Sleep can be characterised as a dynamic process that has a finite set of sleep stages during the night. The standard Rechtschaffen and Kales sleep model produces discrete representation of sleep and does not take into account its dynamic structure. In contrast, the continuous sleep representation provided by the probabilistic sleep model accounts for the dynamics of the sleep process. However, analysis of the sleep probabilistic curves is problematic when time misalignment is present. In this study, we highlight the necessity of curve synchronisation before further analysis. Original and in time aligned sleep probabilistic curves were transformed into a finite dimensional vector space, and their ability to predict subjects’ age or daily measures is evaluated. We conclude that curve alignment significantly improves the prediction of the daily measures, especially in the case of the S2-related sleep states or slow wave sleep.
机译：睡眠可以描述为一个动态过程，该过程在夜间具有有限的一组睡眠阶段。标准的Rechtschaffen和Kales睡眠模型产生离散的睡眠表示，并且没有考虑其动态结构。相反，由概率睡眠模型提供的连续睡眠表示考虑了睡眠过程的动力学。但是，当存在时间未对准时，对睡眠概率曲线的分析是有问题的。在这项研究中，我们在进一步分析之前强调了曲线同步的必要性。将原始的和及时对齐的睡眠概率曲线转换为有限维向量空间，并评估其预测受试者年龄或日常测量的能力。我们得出的结论是，曲线对齐显着改善了日常测量的预测，尤其是在与S2相关的睡眠状态或慢波睡眠的情况下。

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