NSF
Award Abstract #2030629

STTR Phase I: Smart IoT Wearable for Remote Monitoring and Assessment of COVID-19 Patients (COVID-19)

See grant description on NSF site

Program Manager:

Alastair Monk

Active Dates:

Awarded Amount:

$256,000

Investigator(s):

Lloyd E Emokpae

Mohamed F Younis

Awardee Organization:

LASARRUS CLINIC AND RESEARCH CENTER
Maryland

Funder Divisions:

Technology Innovation and Partnerships (TIP)

Abstract:

The broader impact /commercial potential of this Small Business Technology Transfer (STTR) Phase I project will help COVID-19 patients with a lower burden to the medical system. This project will lead to a low-cost wearable internet of things (IoT) system to enable improved telemedicine. The collected data can be leveraged for public health purposes. The proposed project will develop telemedicine software tools using real-time physiological data from a wearable that is affordable, comfortable, non-invasive, washable, and reusable.This STTR Phase I project will develop a risk stratification mechanism for patients who experience signs and symptoms suggestive of COVID-19 such as dry cough, shortness of breath, and a fever. Such type of lower respiratory tract illness could be managed at home without resorting to hospital admission. Our objectives include development of: 1) a multi-modality system for diagnosing illness conditions for COVID-19 and similar contiguous diseases; 2) a software telemedicine interface with algorithms that learn and assess the need for further hospitalization; 3) a pilot study.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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