VT-19: Continuous Calibration-free SPO2 Monitoring for COVID-19 Using Deep Learning

Coronaviruses are a large family of viruses and COVID-19 is a new disease from this family that has not been previously identified in humans [1]. Those who are infected with COVID-19 may have little to no symptoms and may take up to 14 days to appear after exposure to COVID-19 [2]. It’s possible to detect this disease early by measuring the heart rate, blood oxygenation (SpO2), body temperature and heart rate variability and isolate the person to prevent the spread of the virus. VitalTracer has developed a medical wrist device that continuously tracks bio-signals in real-time. The purpose of this study is to present an algorithm that translates collected bio-signals from a non-invasive, low cost, and convenient wearable device (VT-19) into reliable blood oxygen saturation estimate. Applications of such a system range from false alarm suppression to improving estimates of derived physiological parameters such as heart rate and oxygen saturation.

Faculty Supervisor:

Hilmi Dajani

Student:

Zahra Zangenehmadar

Partner:

VitalTracer Ltd.

Discipline:

Engineering - civil

Sector:

Health care and social assistance

University:

University of Ottawa