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
Brief Summary

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

Detailed Description

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.

Completed
COVID19

Device: ANNE One

Wireless vital sign monitoring device

Eligibility Criteria

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

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
United States
Locations

Northwestern Memorial Hospital
Chicago, Illinois, United States

United States Department of Defense
NCT Number
MeSH Terms
COVID-19