Trials / Completed
CompletedNCT04635787
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
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 324 (actual)
- Sponsor
- Northwestern University · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- —
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | ANNE One | Wireless vital sign monitoring device |
Timeline
- Start date
- 2020-11-05
- Primary completion
- 2021-03-31
- Completion
- 2021-08-31
- First posted
- 2020-11-19
- Last updated
- 2023-05-06
Locations
1 site across 1 country: United States
Source: ClinicalTrials.gov record NCT04635787. Inclusion in this directory is not an endorsement.