COVID-19
Conditions
Keywords
Wearable sensor, Machine learning, COVID-19
Brief summary
1. Deploy wearable COVID sensor to collect high resolution physiological data (temperature, cardiac, respiratory and physical activity) from COVID positive patients. 2. Use collected data to train algorithm for assessing the risk of individuals presenting with symptoms suggestive of COVID-19.
Interventions
DEVICEANNE Sensor
The data collected from this sensor contains a wide range of core and novel respiratory digital biomarkers as a home-based early identification system. The core measurements include: heart rate, heart rate variability, temperature, physical activity (including sleep quality) and respiratory rate. The novel respiratory digital biomarkers include: respiratory cadence (expiration / inspiration time), coughing, swallowing, throat clearing, and talk time.
Sponsors
United States - India Science and Technology Endowment Fund
Northwestern University
Induss Hospitals
Bionic Yantra
Clinfinite Solutions
Indian Institute of Technology Kharagpur
Arun Jayaraman, PT, PhD
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 95 Years
Healthy volunteers
Yes
Inclusion criteria
* Ages between 18-95 years old * Currently experiencing any COVID-like signs and symptoms such as fever, cough, shortness of breath, trouble breathing, persistent pain or pressure in the chest, confusion or inability to arouse, bluish lips or face. * Individuals who are not experiencing any COVID like signs and symptoms (will be asked to be healthy control) * 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Heart Rate | Baseline; Possible reassessment up to five days after consent | Instantaneous heart rate associated with various activity levels |
| Respiratory frequency | Baseline; Possible reassessment up to five days after consent | Participants will be asked to breathe normally before and after walking for 30 seconds. |
| Cough Frequency | Baseline; Possible reassessment up to five days after consent | Cough signal characteristics during five consecutive coughs |
| Body temperature | Baseline; Possible reassessment up to five days after consent | Periodic temperature readings throughout the activity sequence |
Countries
India
Outcome results
None listed