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

基本信息

批准号：
2030502
负责人：
Min Wu
金额：
$ 8.11万
依托单位：
University of Maryland, College Park
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 2022-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030502&HistoricalAwards=false
关键词：
Collaborative Research RAPID Understanding Facilitating

项目摘要

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.

这个快速项目计划通过使用低成本的消费级相机来跟踪诸如视频中的呼吸率，心率和血氧饱和度水平等生理状况，以调查基于视觉的生理传感技术，以促进大流行期间远程分类和康复。可以对生理数据进行可视化和存档，并由用户与医生共享，以了解和支持远程分类和康复。拟议的研究可以增强医疗提供者与患者之间的相互作用，并帮助满足由于COVID-19的远程医疗需求的预计激增。 PI团队计划通过将新颖的无联系视频传感纳入一项由公共卫生协作团队推出的生物医学队列研究中，以进行首个数据收集。多模式数据收集的这种跨学科机会将提供有关多种生物传感方式关系的见解，而收集的数据将有助于对早期发现Covid-19和相关疾病进行研究。基于视觉的生理感应还将有助于增强大流行期间康复治疗师和患者之间的远程相互作用。这项工作的智力优点在于推进基于视频的无接触性生理监测的承诺工程技术，以支持大流行期间远程分类和康复的需求不断上升。和技术开发的技术涉及远程医疗中重要的缺失组成部分，该组件仅实现社交势不足，避免医院过度拥挤，并优先考虑个人受保护的设备，以响应Pandemics。通过与另一项队列研究合作，共同努力收集的史无前例的众多数据将为理解和管理Covid-19疾病和远程分类提供关键的见解，以实现未来的爆发。除快速行动以外，其他任何常规的NSF计划都无法实现这一机会的及时性。该项目的更广泛影响在于两个方面。多学科的努力将为理解和发展远程分类和康复的技术能力提供重要的新知识和见解，这将有助于早期发现，传播控制以及有效的管理和预防未来的流行病。通过该项目支持电视骚扰的技术将具有改善受影响公民的不利条件和生活质量的强大潜力。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛的影响来通过评估来支持的珍贵支持。