COVID-19: Samur.AI: Vital signs predictors for COVID-19

COVID-19：Samur.AI：COVID-19 的生命体征预测因子

• 批准号: 554728-2020
• 负责人: Haughey, Roger
• 金额: $ 5.46万
• 依托单位: Cégep John Abbott College
• 依托单位国家: 加拿大
• 项目类别: Applied Research Rapid Response to COVID-19
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695384
• 关键词: COVID; 19; Samur.AI; Vital; signs

The current project aims at combining the real-time data stream from wearable connected devices with modern signal processing techniques for the automatic detection of anomalies in patients infected with the novel coronavirus. Our solution will also make it possible to monitor changes in the health status of people infected with the virus. Our predictive model will aim to detect, based on the real time data stream, the early warning signs of deterioration patient condition to ARDS, for early care in the health system.

目前的项目旨在将可穿戴连接设备的实时数据流与现代信号处理技术相结合，以自动检测感染新型冠状病毒的患者的异常情况。我们的解决方案还将使监测病毒感染者健康状况的变化成为可能。我们的预测模型旨在基于真实的时间数据流检测患者病情恶化到ARDS的早期预警信号，以用于卫生系统中的早期护理。