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Grant: Idea to Innovation

Université d'Ottawa

$125,000.00

AI-based continuous, non-invasive and unobtrusive monitoring of cardiac patients

FY 2023-24

Summary
This project aims to develop an advanced monitoring system integrated with cutting-edge software for continuous tracking of vital signs and activities in cardiac patients. We will use contact-based sensors like smartwatches and contactless sensors such as radars to monitor indicators like heart rate, heart rate variability, breathing rates, breathing patterns, and patient activities. This data will be fed into an AI model to detect changes in the patient's condition.One critical challenge we address is using contactless sensors in multi-person environments. We have a patent-pending solution using signal processing and machine learning to accurately associate signals with specific subjects. Our system has been tested in lab settings and trained with data from cardiac patients at the Heart Institute in Ottawa. We plan to deploy it in the homes of cardiac patients, starting with those in long-term care facilities.Heart failure is a significant concern, with mortality rates ranging from 4% to 10%, and an average admission cost of $15,000 in the United States. Our product can potentially extend the lives of these patients by early detection of decompensation and reduce healthcare expenses in Canada by minimizing hospital readmissions.In conclusion, this project seeks to revolutionize the care and monitoring of cardiac patients by harnessing the power of AI and advanced sensor technologies. By providing continuous, objective, and precise assessments of patient conditions, we aim to contribute to both the well-being of patients and the sustainability of healthcare systems, with the potential to save lives and reduce healthcare costs.
Program
Idea to Innovation
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
586926-2023
Name nom
Bolic, Miodrag M
Department département
Electrical Engineering and Computer Science , School of
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
125000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
518
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Medical equipment and apparatus
Area of application fr
Appareils et instruments médicaux
Research subject code
1900
Research subject group en
Biomedical engineering
Research subject group fr
Biomedical engineering
Research subject en
Génie biomédical
Research subject fr
Génie biomédical
Application title
AI-based continuous, non-invasive and unobtrusive monitoring of cardiac patients
Keyword
congestive heart failure; data association; machine learning; radar; sensor fusion; signal processing; smartwatch
Application summary
This project aims to develop an advanced monitoring system integrated with cutting-edge software for continuous tracking of vital signs and activities in cardiac patients. We will use contact-based sensors like smartwatches and contactless sensors such as radars to monitor indicators like heart rate, heart rate variability, breathing rates, breathing patterns, and patient activities. This data will be fed into an AI model to detect changes in the patient's condition.One critical challenge we address is using contactless sensors in multi-person environments. We have a patent-pending solution using signal processing and machine learning to accurately associate signals with specific subjects. Our system has been tested in lab settings and trained with data from cardiac patients at the Heart Institute in Ottawa. We plan to deploy it in the homes of cardiac patients, starting with those in long-term care facilities.Heart failure is a significant concern, with mortality rates ranging from 4% to 10%, and an average admission cost of $15,000 in the United States. Our product can potentially extend the lives of these patients by early detection of decompensation and reduce healthcare expenses in Canada by minimizing hospital readmissions.In conclusion, this project seeks to revolutionize the care and monitoring of cardiac patients by harnessing the power of AI and advanced sensor technologies. By providing continuous, objective, and precise assessments of patient conditions, we aim to contribute to both the well-being of patients and the sustainability of healthcare systems, with the potential to save lives and reduce healthcare costs.
Université d'Ottawa - $125,000 Grant (2023-24) | Canada Spends