Validating novel sleep sensors and devices in older adults with Alzheimer's disease

在患有阿尔茨海默病的老年人中验证新型睡眠传感器和设备

• 批准号: 10756674
• 负责人: Niteesh K Choudhry
• 金额: $ 19.39万
• 依托单位: UNIVERSITY OF MASSACHUSETTS AMHERST
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10756674
• 关键词: Aging; Alzheimer' s Disease; Alzheimer' s disease related dementia; Chronic; Clinical; Data; Detection; Development; Device or Instrument Development; Devices; Elderly; Electrocardiogram; Electroencephalography; Future; Gait; Health; Heart Rate; Home; Individual; Measures; Monitor; Patients; Performance; Physiological; Physiological Processes; Polysomnography; Population; Questionnaires; Research; Sampling; Series; Signal Transduction; Sleep; Technology; Treatment outcome; algorithmic bias; consumer demand; improved; monitoring device; novel; portability; sensor; usability; user-friendly; validation studies

Project Summary Easily accessible, user friendly, and validated in-home sleep monitoring technologies are in high research, commercial, and clinical demand for older adults. Monitoring multiple physiological signals in patients’ homes provides a promising opportunity for clinicians to improve treatment outcomes and conveniently access relevant health metrics in older adults. Novel commercial and research grade devices are constantly evolving to meet growing demand from consumers and increase accuracy. To improve accuracy, more and more devices are integrating a wider array of physiological processes (e.g., heart rate, SpO2, ECG). However, scientific validation studies examining the accuracy and performance of these devices is minimal and completely absent in older adults with common chronic conditions and in individuals with Alzheimer’s disease and Alzheimer’s related dementias (AD/ADRD). Yet targeted studies in these groups are necessary given aging- and AD-related changes in gait, mobility, and physiological processes that may decrease the accuracy of devices. This study seeks to validate sleep detection capabilities of commercially available devices with physiological sensors in a diverse representative sample of older adults with common chronic conditions and a group with AD/ADRD. Device performance will be examined in in-home settings and compared to gold-standard sleep measures (polysomnography – a montage of EEG, EMG, and EOG). Further, with a series of questionnaires, we will identify high-utility device features, barriers to use, and other aspects relevant to improving future device development and compliance in both research and commercial settings. We consider this an essential first step towards deploying devices for health and research.

项目摘要 易于访问，用户友好并经过验证的家庭睡眠监控技术 对老年人的研究，商业和临床需求很高。监视 患者家中的多个身体信号为 临床医生改善治疗结果并方便地获得相关的健康 老年人指标。新颖的商业和研究级设备不断 不断发展，以满足消费者不断增长的需求并提高准确性。改进 精度，越来越多的设备正在整合更广泛的生理 过程（例如，心率，SPO2，ECG）。但是，科学验证研究 检查这些设备的准确性和性能是最小的 患有常见慢性疾病的老年人和患有 阿尔茨海默氏病和阿尔茨海默氏症相关的痴呆症（AD/ADRD）。尚未针对性 考虑到步态的衰老和广告相关的变化，这些组的研究是必要的 移动性和物理过程可能会降低设备的准确性。 这项研究旨在验证可商购的睡眠检测能力 具有物理传感器的设备在潜水员的代表性样本中 具有常见的慢性条件和AD/ADRD的组。设备性能将 在家庭环境中进行检查，并与金标准的睡眠措施进行比较 （多症术 - 脑电图，EMG和EOG的单打）。此外，有一系列 问卷调查，我们将确定高通用设备功能，使用障碍以及其他 与改善未来的设备开发和合规性相关的方面 研究和商业环境。我们认为这是迈向的第一步 部署用于健康和研究的设备。