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
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Covid19
- Sponsor
- Northwestern University
- Enrollment
- 324
- Locations
- 1
- Primary Endpoint
- 1.Efficacy of wearable device to detect respiratory infection parameters: cough count
- Status
- Completed
- Last Updated
- 2 years ago
Overview
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.
Investigators
Shuai (Steve) Xu
Principal Investigator
Northwestern University
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
Outcomes
Primary Outcomes
1.Efficacy of wearable device to detect respiratory infection parameters: cough count
Time Frame: 1 year
Device data measuring cough count. Captured by analysis of peak acclerometer graphing and duration in meters per second squared (m/s2).
Secondary Outcomes
- 2.Monitoring of respiratory infection symptoms, WURSS-11 Survey(Time Frame: 1 year)