VALIDATION AND IN-HOME ASSESSMENT OF THE NAPS SYSTEM

NAPS 系统的验证和家庭评估

• 批准号: 7718570
• 负责人: Robin A Felder
• 金额: $ 4.14万
• 依托单位: UNIVERSITY OF VIRGINIA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-03-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7718570
• 关键词: Affect; Algorithms; Arousal; Benchmarking; Body Surface; Cardiac; Clinical; Computer Retrieval of Information on Scientific Projects Database; Data; Environment; Equipment; Event; Frequencies; Funding; Goals; Grant; Health; Heart Rate; Home environment; Individual; Institution; Interruption; Investigation; Measurement; Measures; N-(4-aminophenethyl)spiroperidol; Napping; Nature; Pattern; Performance; Physiological; Polysomnography; Population; Quality of life; Rate; Research; Research Personnel; Resources; Respiration; Score; Screening procedure; Sleep; Sleep Apnea Syndromes; Sleep Architecture; Sleep Disorders; Source; Standards of Weights and Measures; System; Temperature; Testing; Time; United States National Institutes of Health; Validation; Wrist; actigraphy; day; indexing; tool

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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此，可以在其他清晰的条目中表示。列出的机构是 对于中心，这不一定是调查员的机构。 由于这些问题可能引起的并发症，与睡眠模式或睡眠障碍相关的问题（无论是睡眠模式还是睡眠障碍）变得越来越重要。 尤其是睡眠呼吸暂停会影响长期心脏健康和睡眠质量差会影响白天的表现，以及个人的生活质量。 NIH睡眠研究计划表明，有必要更好地了解睡眠障碍，并调查不引人注目的方法来监视可以适应大量人群的筛查的睡眠方式。 为此，将测试以下假设： 1。小睡系统可以提供生理参数的有效测量 - 心率和规律性，呼吸率和规律性，运动和身体表面温度 - 合并后，用于评估睡眠结构，睡眠模式和睡眠障碍，例如睡眠呼吸暂停。 2。临床（此处GCRC睡眠实验室）的限制性质，测量设备和环境可能会影响受试者的睡眠。 因此，在GCRC睡眠实验室中的一个晚上，由小睡系统测量的睡眠呼吸呼吸暂停/唤醒事件的频率和时机存在差异，而在受试者家中三晚进行了相同测量的夜间平均值。 3。使用午睡系统，我们可以至少与公认的腕部表演中所接受的内部标准和匹兹堡睡眠质量指数（PSQI）的修改版本相同和准确地测量睡眠模式，中断和效率。因此，我们可以开发一种客观的内部睡眠评估工具，即使与腕部动作法结合使用，它也可能超过当前主观评估工具（例如PSQI）的功能。 通过使用公认的临床（多个术语）和内部（主观和主观评估工具）作为测试午睡系统的基准，我们打算在这两种环境中进行现场测试和验证该系统的功效。 这项研究基于先前的研究，我们能够开发算法以自动分析和评分小睡数据。 作为这项研究的主要目标，我们将进一步验证这些算法，午睡系统以及该客观工具在家庭睡眠评估和筛查中的功效。