Academic department under which the project should be listed

CCSE - Information Technology

Faculty Sponsor Name

Maria Valero

Additional Faculty

Shahriar Hossain, Information Technology, hshahria@kennesaw.edu

Abstract (300 words maximum)

This project will develop PulMon-C, a real-time monitoring framework of pulmonary function to diagnose COVID-19 patients who are being self-quarantined at home. The tool will identify anomalies in breathe rate and predict pulmonary deterioration to raise alert for immediate actions. The uniqueness of the tool is using non-invasive sensors placed under-mattress that are able to communicate data about the respiratory signal. The customer segment of PulMon-C will be the diagnosed COVID-19 patients and healthcare providers. PulMon-C will assist with the remote monitoring of COVID-19 patients as an urgent need in the USA and will bring larger impact in delivering medical care for worsening conditions of COVID-19 patients timely without overwhelming hospital systems that have otherwise limited capacity and resources. The goal of the research is to perform the needed R&D for real-time monitoring of COVID-19 patients, develop and test signal processing techniques, and preliminary evaluation through end users and healthcare professionals.

Project Type

Event

Share

COinS
 

PulMon-C: A Real-time Monitoring Framework of Pulmonary Function

This project will develop PulMon-C, a real-time monitoring framework of pulmonary function to diagnose COVID-19 patients who are being self-quarantined at home. The tool will identify anomalies in breathe rate and predict pulmonary deterioration to raise alert for immediate actions. The uniqueness of the tool is using non-invasive sensors placed under-mattress that are able to communicate data about the respiratory signal. The customer segment of PulMon-C will be the diagnosed COVID-19 patients and healthcare providers. PulMon-C will assist with the remote monitoring of COVID-19 patients as an urgent need in the USA and will bring larger impact in delivering medical care for worsening conditions of COVID-19 patients timely without overwhelming hospital systems that have otherwise limited capacity and resources. The goal of the research is to perform the needed R&D for real-time monitoring of COVID-19 patients, develop and test signal processing techniques, and preliminary evaluation through end users and healthcare professionals.