Research in sensory information technologies and implementation in sleep disorder monitoring

感觉信息技术研究及其在睡眠障碍监测中的应用

• 批准号: 493908-2016
• 负责人: DeSilva, Clarence
• 金额: $ 13.24万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=642083
• 关键词: Research; sensory; information; technologies; implementation

Strategic research is proposed in the key areas: 1. Innovative sensor technologies and information acquisition; 2. Information processing, fusion, and decision making using Internet of Things (IoT) and Cloud Computing (CC); 3. Optimization and power management, in information and communication technologies (ICT) and Mechatronics contexts. In the short term, technologies will be developed for an innovative wireless, wearable, light, fast, accurate, convenient, and low-cost device for sleep disorder monitoring in a home environment. The long-term objective is to extend the developed technologies to broader applications of health monitoring such as telehealth/telemedicine and homecare. The proposed research, product design, system development, testing, and evaluation all will be carried out in close collaboration with the industrial partner, Clinical Sleep Solutions, who has committed to commercializing the product. Portable devices are commercially available for Level III monitoring (obstructive sleep apnea). The proposed work will lead to a wearable device for Level I monitoring (the gold standard) of a broad range of sleep disorders (including central sleep apnea). The device will be incorporated into a scalable and flexible system framework of IoT, CC, and data mining. The proposed research will address several key issues: 1. Needed sensor technologies and their specifications; commercial availability; what sensors and hardware need to be newly designed and developed; characteristics of the sensor signals; and how is the sensory information acquired; 2. For signals from disparate sensors in different forms, what types of signal processing are needed, to make them consistent and to extract relevant information; appropriate decision making methodologies; how multi-sensor data fusion may be used to improve the decision quality and to diagnose sensor faults; 3. Suitable sensor network at the device level; how is the device powered; best design for the device with regard to both ICT and Mechatronics; design constraints. In view of many practical advantages, the developed technologies will have substantial positive impact on the quality of life, the healthcare industry, and the Canadian economy.

战略研究的重点是：1。创新的传感器技术和信息采集; 2.使用物联网（IoT）和云计算（CC）进行信息处理、融合和决策; 3.信息和通信技术（ICT）和机电一体化环境中的优化和电源管理。在短期内，将开发一种创新的无线、可穿戴、轻便、快速、准确、方便和低成本的设备，用于家庭环境中的睡眠障碍监测。长期目标是将已开发的技术推广到更广泛的健康监测应用，如远程保健/远程医疗和家庭护理。拟议的研究、产品设计、系统开发、测试和评估都将与致力于该产品商业化的工业合作伙伴Clinical Sleep Solutions密切合作进行。便携式设备可用于III级监测（阻塞性睡眠呼吸暂停）。拟议的工作将导致一个可穿戴设备的I级监测（黄金标准）的广泛的睡眠障碍（包括中枢性睡眠呼吸暂停）。该设备将被纳入物联网，CC和数据挖掘的可扩展和灵活的系统框架中。该研究将解决几个关键问题：1。所需的传感器技术及其规格;商业可用性;需要新设计和开发的传感器和硬件;传感器信号的特性;以及如何获取传感信息; 2.对于来自不同形式的不同传感器的信号，需要什么类型的信号处理，以使它们一致并提取相关信息;适当的决策方法;如何使用多传感器数据融合来提高决策质量并诊断传感器故障; 3.设备级的合适传感器网络;设备如何供电; ICT和机电一体化方面的设备最佳设计;设计约束。鉴于许多实际优势，开发的技术将对生活质量，医疗保健行业和加拿大经济产生重大的积极影响。