Official Title
Wearable Sensor to Monitor and Track COVID-19-like Signs and Symptoms to Develop Better Care Strategies for COVID-19 Pandemic - An Exploratory Study
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.

Detailed Description

Not Provided

Unknown status
COVID-19

Device: ANNE 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.

Eligibility Criteria

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.

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: 95 Years
Countries
India
Locations

Lifepoint Multi-Specialty Hospital
Pune, Maharashtra, India

St. Georges Hospital
Mumbai, Maharastra, India

Induss Hospitals
Hyderabad, Telangana, India

Arun Jayaraman, PT, PhD, Principal Investigator
Shirley Ryan AbilityLab

Arun Jayaraman, PT, PhD
NCT Number
Keywords
Wearable sensor
Machine learning
Covid-19
MeSH Terms
COVID-19