STTR Phase I: The use of wrist-worn devices and sensory stimulation for evaluating sleep

STTR 第一阶段：使用腕戴式设备和感官刺激来评估睡眠

• 批准号: 1622766
• 负责人: Daniel Gartenberg
• 金额: $ 22.5万
• 依托单位: Mobile Sleep Technologies L.L.C
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2017-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1622766&HistoricalAwards=false
• 关键词: STTR; Phase; use; wrist; worn

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to improve people's lives by creating the first wrist-based device that can reliably assess sleep quality. A large pool of undiagnosed patients and the growing population of the elderly point to a massive end-user market for sleep disorder diagnostics devices. The market is steadily increasing due to the visible tilt in preference from drugs to home care sleep tests that are more convenient and lack side effects. This trend is also due to improvements in consumer based sensor technology, limited number of technicians or specialized physicians, and long wait times. In accordance with these market needs, this project is designed to develop a system for assessing sleep at home in a patient friendly and easy to environment. This technology is expected to be especially attractive to elderly patients looking for alternatives to medications and traditional sleep disorder tests. Because the algorithm developed in this project will be tested and validated in a sleep laboratory, it will be accepted in both clinical and non-clinical setting.The proposed project is a research and development effort to create and test a new system for detecting sleep stages. Because poor sleep is common in modern society and has considerable consequences, including decreased work productivity/abilities, increased rate of accidents and traffic fatalities, and increased health care costs, there is a great need for a new system that can provide an ambulatory assessment of sleep quality under real-world conditions. Although there are many wrist-based devices on the market that are well-suited for measuring sleep in both home and clinical settings, none of these devices can currently allow reliable assessment of sleep quality. This project will develop a new algorithm for a wrist-based device that will detect sleep quality based on actigraphy, photoplethysomnography, and physiological responses to sensory stimulation. This research will apply a multi-modal approach to assess quality of sleep and advance the science of diagnosis and treatment of sleep disorders.

该小型企业技术转让 (STTR) 第一阶段项目的更广泛影响/商业潜力是通过创建第一个能够可靠评估睡眠质量的腕式设备来改善人们的生活。大量未确诊的患者和不断增长的老年人口表明睡眠障碍诊断设备的最终用户市场巨大。由于人们对药物的偏好明显转向更方便且无副作用的家庭护理睡眠测试，该市场正在稳步增长。这一趋势还归因于基于消费者的传感器技术的改进、技术人员或专业医生数量有限以及等待时间较长。根据这些市场需求，该项目旨在开发一种在患者友好且易于使用的环境中评估在家睡眠的系统。这项技术预计对寻求药物和传统睡眠障碍测试替代品的老年患者特别有吸引力。由于该项目开发的算法将在睡眠实验室中进行测试和验证，因此它将在临床和非临床环境中得到接受。拟议的项目是一项研发工作，旨在创建和测试用于检测睡眠阶段的新系统。由于睡眠质量不佳在现代社会中很常见，并且会产生相当大的后果，包括工作生产力/能力下降、事故和交通死亡率增加以及医疗保健费用增加，因此非常需要一种新的系统来提供动态评估现实条件下的睡眠质量。尽管市场上有许多非常适合在家庭和临床环境中测量睡眠的腕式设备，但目前这些设备都无法对睡眠质量进行可靠的评估。该项目将为腕式设备开发一种新算法，该算法将根据体动记录仪、光电体积描记法和对感官刺激的生理反应来检测睡眠质量。这项研究将采用多模式方法来评估睡眠质量并推进睡眠障碍的诊断和治疗科学。