Vital Sensor Monitors for CV19 Detection

ICU-Grade Wearable Sensors With Novel Respiratory Biomarkers to Diagnose and Detect Pre- and Very Early Symptomatic COVID-19 Infection Using Predictive Machine Learning Algorithms

This study will monitor physical bio-markers such as heart rate, respiratory rate, and temperature to detect potential COVID-19 infections.

The purpose of this research is to assess the accuracy of wearable sensors at detecting and monitoring COVID-19 infections. Our small, wearable sensor can get data on your respiration, body temperature, heart rate, and blood oxygen level, which may help physicians better identify if a respiratory condition is worsening overtime. If successful, our sensor could help healthcare professionals detect early symptoms of COVID-19 respiratory infection and monitor recovery and treat people before their condition worsens significantly.

Inclusion Criteria:

• Adults aged 18 years old or over
• Recent (within 1 week) occupational or home exposure to a newly diagnosed COVID-19 infected individual
• Able and willing to give written consent and comply with study procedures

Exclusion Criteria:

• Inability to understand instructions and follow a three step command
• The subject is pregnant, nursing or planning a pregnancy
• Inability to provide written consent
• Past confirmed COVID-19 infection with resolution of symptoms
• Past confirmed COVID-19 active infection moderate or severe symptoms