Covid19 Clinical Trial
Official title:
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. ;
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