VALIDATION AND IN-HOME ASSESSMENT OF THE NAPS SYSTEM

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 与睡眠相关的问题，无论是睡眠模式还是睡眠障碍，由于这些问题可能产生的并发症，正变得越来越重要。尤其是睡眠呼吸暂停，会影响长期的心脏健康，睡眠质量不佳可能会影响白天的表现，以及个人的生活质量。美国国立卫生研究院的睡眠研究计划表明，有必要更好地了解睡眠障碍，并调查能够适应大规模人群筛查的不引人注目的睡眠监测方法。为此，将检验以下假设： 1.NAPS系统可以提供有效的生理参数测量--心率和规律性、呼吸频率和规律性、运动和体表温度--这些参数结合在一起，可以用于评估睡眠结构、睡眠模式和睡眠呼吸暂停等睡眠障碍。 2.临床(这里是GCRC睡眠实验室)多导睡眠图设置、测量设备和环境的约束性可能会影响受试者的睡眠。因此，在GCRC睡眠实验室中，睡眠系统在一个晚上测量的睡眠呼吸暂停/觉醒事件的频率和时间与在受试者家中三个晚上进行的相同测量的夜间平均值存在差异。 3.使用NAPS系统，我们可以测量睡眠模式、睡眠中断和效率，至少与公认的家庭手腕活动记录标准和匹兹堡睡眠质量指数(PSQI)的修订版一样准确。因此，我们可以开发一种客观的家庭睡眠评估工具，即使与手腕动作图结合使用，也可能超过当前主观评估工具(如PSQI)的能力。 通过使用公认的临床(多导睡眠图)和家庭(活动和主观评估工具)标准作为测试NAPS系统的基准，我们打算现场测试和验证该系统在这两种环境中的有效性。这项研究建立在之前的一项研究的基础上，在那项研究中，我们能够开发算法来自动分析和评分NAP数据。作为这项研究的主要目标，我们将进一步验证这些算法、NAPS系统以及这一客观工具用于家庭睡眠评估和筛查的有效性。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Problems associated with sleep, whether sleep patterns or sleep disorders, are becoming more important due to the complications that can arise from these issues. Sleep apnea, especially, can influence long-term cardiac health and poor sleep quality could impact performance during the day, as well as an individual's quality of life. The NIH sleep research plan indicates there is a need to better understand sleep disorders, and for investigation into unobtrusive ways to monitor sleep that can accommodate the screening of large populations. To that end, the following hypotheses will be tested: 1. The NAPS System can provide valid measurements of physiological parameters - heart rate and regularity, respiration rate and regularity, movement and body surface temperature - that when combined, are used in assessing sleep architecture, sleep patterns and sleep disorders like sleep apnea. 2. The constraining nature of clinical (here GCRC sleep lab) polysomnography set-up, measurement equipment and environment may affect the subject's sleep. Therefore, there are differences in the frequency and timing of sleep apnea/arousal events measured by the NAPS system over a single night in the GCRC sleep lab and the nightly average of the same measurements performed over three-nights in the subject's home. 3. Using the NAPS system, we can measure sleep patterns, interruptions and efficiency at least as equally and as accurately as the accepted in-home standards of wrist actigraphy and a modified version of the Pittsburgh Sleep Quality Index (PSQI). Hence we can develop an objective, in-home sleep assessment tool that may exceed the capabilities of current subjective assessment tools (like the PSQI) even when combined with wrist actigraphy. By using accepted clinical (polysomnography) and in-home (actigraphy and subjective assessment tool) standards as benchmarks for testing the NAPS system, we intend to field-test and validate the efficacy of this system in both environments. This research builds on a previous study where we were able to develop algorithms to automatically analyze and score the NAPS data. As primary goals of this study, we will further validate these algorithms, the NAPS system, and efficacy of this objective tool for in-home sleep assessment and screening.