Collaborative Research: RAPID: Understanding and Facilitating Remote Triage and Rehabilitation During Pandemics via Visual Based Patient Physiologic Sensing

合作研究：RAPID：通过基于视觉的患者生理感知理解和促进大流行期间的远程分诊和康复

• 批准号: 2030382
• 负责人: Simon Ho
• 金额: $ 0.84万
• 依托单位: University of Maryland at Baltimore
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030382&HistoricalAwards=false
• 关键词: Collaborative; Research; RAPID; Understanding; Facilitating

This RAPID project plans to investigate visual-based physiological sensing technologies to facilitate remote triage and rehabilitation during pandemics, by using low-cost consumer-grade cameras to track such physiological conditions as respiration rate, heart rate, and blood oxygen saturation levels from videos. The physiological data can be visualized and archived, and shared by users with medical practitioners to understand and support remote triage and rehabilitation.The proposed research can enhance the interaction between medical providers and patients, and help address a projected surge in telehealth needs due to COVID-19. The PI team plans to conduct the first-of-a-kind data collection, by incorporating the novel contact-free video sensing into a biomedical cohort study that is being rolled out by a public-health collaboration team. This cross-disciplinary opportunity of multimodal data collection will offer insights on the relationship of multiple biosensing modalities, and the data collected would facilitate the research on early detection of COVID-19 and related diseases. The visual-based physiological sensing will also help enhance the remote interaction between rehabilitation therapists and patients during pandemics.The intellectual merit of this effort lies in advancing promising engineering techniques of video-based contact-free physiological monitoring to support the rising needs of remote triage and rehabilitation during pandemics. The research findings and techniques developed address an important missing component in telehealth, which simultaneously achieves social-distancing, avoids hospital overcrowding, and prioritizes personal protective equipment in response to pandemics. By collaborating with another cohort study, an unprecedented multitude of data collected by the joint effort will provide key insights toward understanding and managing COVID-19 diseases and remote triage for future outbreaks. The timeliness of this opportunity cannot be met by any regular NSF programs other than the RAPID.The project’s broader impact lies in two aspects. The multidisciplinary effort will provide important new knowledge and insights toward understanding and developing technology capabilities for remote triage and rehabilitation, which will contribute to the early detection, spread control, and effective management and prevention of future epidemics. The techniques developed through the project to support tele-rehabilitation will have a strong potential to improve the adverse conditions and quality of life of the affected citizens.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该RAPID项目计划研究基于视觉的生理传感技术，通过使用低成本的消费级摄像机从视频中跟踪呼吸率、心率和血氧饱和度等生理状况，以促进流行病期间的远程分诊和康复。 生理数据可以可视化和存档，并由用户与医疗从业者共享，以了解和支持远程分诊和康复。拟议的研究可以加强医疗提供者和患者之间的互动，并有助于解决因COVID-19而预计激增的远程医疗需求。 PI团队计划通过将新颖的无接触视频传感纳入公共卫生合作团队正在推出的生物医学队列研究来进行首次数据收集。这种多模式数据收集的跨学科机会将提供对多种生物传感模式之间关系的见解，所收集的数据将促进COVID-19和相关疾病早期检测的研究。基于视觉的生理传感还将有助于增强大流行期间康复治疗师与患者之间的远程互动。这项工作的智力价值在于推进基于视频的非接触式生理监测的有前途的工程技术，以支持远程分诊和康复的日益增长的需求。大流行期间。研究结果和开发的技术解决了远程保健中缺少的一个重要组成部分，同时实现了社交距离，避免了医院过度拥挤，并优先考虑个人防护设备以应对流行病。通过与另一项队列研究合作，联合努力收集的前所未有的大量数据将为理解和管理COVID-19疾病以及未来疫情的远程分诊提供关键见解。这个机会的及时性是除RAPID之外的任何常规NSF计划都无法满足的。多学科的努力将提供重要的新知识和见解，以了解和发展远程分诊和康复的技术能力，这将有助于早期发现，传播控制，有效管理和预防未来的流行病。通过该项目开发的支持远程康复的技术将具有很大的潜力来改善受影响公民的不利条件和生活质量。该奖项反映了NSF的法定使命，并通过使用基金会的知识产权进行评估被认为值得支持优点和更广泛的影响审查标准。