COVID-19 - AI Based Screening and Monitoring of COVID-19 Respiration Patterns using Acoustic Sensors

由于对社区COVID-19检测和症状监测的需求极大，开发一种快速便捷的方法进行COVID-19初步筛查是当务之急和优先事项。在这个项目中，我们的目标是开发一种基于人工智能的算法和系统，该算法和系统可以通过麦克风/录音机等声学传感器对COVID-19感染的呼吸模式进行筛查。声波传感器实时记录呼吸声音。由此产生的产品可以在家中或老年人护理中心等群体环境中对大规模人群进行快速实时初步COVID-19筛查和监测。这些产品可以通过优先对COVID-19感染和呼吸症状高可能性的个体进行检测和治疗，帮助政府更有效地分配与COVID-19相关的医疗用品。通过与我们在瑞尔森大学的高素质团队以及我们的合作伙伴组织AltumView的合作，这一创新项目的研究成果可以及时满足COVID-19的紧急医疗需求，并显著造福加拿大社会和经济。

As COVID-19 testing and symptom monitoring in communities have been in extremely high demand, it is now an urgency and priority to develop a fast and convenient way to conduct preliminary COVID-19 screening. In this project, we aim to develop an AI based algorithm and system that can perform screenings of respiration patterns for COVID-19 infections through acoustic sensors, e.g., microphone/sound recorders. The acoustic sensors record the breathing sounds in real-time. The resulting product can perform fast real-time preliminary COVID-19 screening and monitoring on large-scale populations at home or in group settings like senior care centers. Such products can potentially help the government distribute COVID-19 related medical supplies more efficiently by prioritizing testing and treatment to the individuals with high probabilities of COVID-19 infection and respiration symptoms. By working with our highly qualified team at Ryerson University and with our partner organization, AltumView, the research outcome of this innovative project can timely meet the urgent COVID-19 healthcare demands and significantly benefit Canadian society as well as the economy.