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、用户友好且经过验证的家庭睡眠监测技术 在研究、商业和临床上对老年人有很高的需求。监测 患者家中的多种生理信号提供了一个有希望的机会， 临床医生改善治疗效果，方便地获得相关的健康信息， 在老年人中的指标。新型的商业和研究级设备不断地被开发出来。 不断发展，以满足消费者日益增长的需求并提高准确性。提高 准确性，越来越多的设备集成了更广泛的生理 过程（例如，心率、SpO 2、ECG）。然而，科学验证研究 检查这些设备的准确性和性能是最小的， 在患有常见慢性病的老年人和患有 阿尔茨海默病和阿尔茨海默病相关痴呆（AD/ADRD）。然而， 考虑到年龄和AD相关的步态变化， 移动性和可能降低设备精度的生理过程。 这项研究旨在验证商业上可用的睡眠检测能力。 具有生理传感器的器械在不同的老年人代表性样本中的应用 普通慢性病组和AD/ADRD组。器械性能将 在家庭环境中进行检查，并与黄金标准睡眠测量进行比较 （多导睡眠图-EEG、EMG和EOG的蒙太奇）。此外，随着一系列 通过问卷调查，我们将确定高实用性器械的功能、使用障碍和其他 与改善未来器械开发和合规性相关的方面 研究和商业环境。我们认为这是至关重要的第一步 部署用于健康和研究的设备。