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Advanced, Bio-Integrated, and Cloud-Enabled Sensors for Early Diagnosis of Respiratory Infections in the Home Setting
This study will monitor physical bio-markers such as heart rate, respiratory rate, and temperature to detect potential respiratory infections.
The advanced, bio-integrated wireless sensor (ADAM) that provides a comprehensive assessment of cardiopulmonary health. The technology employs advanced low-power operation, in-sensor analytics, and cloud integration. The sensor's novel soft mechanics allows for comfortable placement on the suprasternal notch, a location of unique anatomical importance, to collect both core vitals (heart rate, respiratory rate, temperature, and physical activity including sleep quality) and novel respiratory digital biomarkers (cough count, swallowing, throat clearing and respiratory effort). The investigators will deploy this system in a cohort of high-risk patients for respiratory infection in a home setting to predict for respiratory infections prior to clinical deterioration. The investigators aim to capture data on 122 study subjects over the course of 52 weeks of continuous wear or the investigator's device to thoroughly characterize physiological data and diagnosis of respiratory infections. Data from standard of care appointments, diagnostic testing or imaging, or treatment will be collected from the patient medical record to validate device data.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Northwestern Memorial Hospital
Chicago, Illinois, United States
Start Date
April 24, 2020
Primary Completion Date
September 6, 2022
Completion Date
September 6, 2022
Last Updated
February 16, 2023
42
ACTUAL participants
Lead Sponsor
Northwestern University
Collaborators
NCT07477600
NCT07382258
NCT07195838
Data Source & Attribution
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