This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor 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.
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