Grant: Alliance Grants
Ryerson University
$50,000.00
Discovering COVID-19 early symptoms by contactless optical monitoring of cardiovascular and respiratory system via smartphone_x000d_ _x000d_ _x000d_ _x000d_
FY 2020-21
Summary
This partnership will develop technology for discovering COVID19 early symptoms by using contactless optical monitoring of cardiovascular and respiratory system parameters via a smartphone. New findings show that among other symptoms, there are 3 parameters which are changing in combination as early signs of COVID19: increases of the respiratory and heart rates (HR, RR) and decrease of heart rate variability (HRV) Monitoring all 3 parameters can be a reliable alarm of the beginning of COVID19 development, triggering an urgent test request for the accurate diagnostics. Our industrial partner, Swift Medical seeks a partnership to develop a remote, contactless smartphone-based system for monitoring of HR, RR, and HRV parameters, which will be generating a warning message, once the parameters change beyond the normal range. This system can be also used for monitoring the patient during COVID19 progression, and the data collected can be used to develop a forecast algorithm predicting the moment of intensive care or emergency call. Both front and back camera of the smartphone can be employed: the front camera can be used for self-assessment and the back camera can be used for screening other people. The impact of this project will support medical personnel with user-friendly equipment for fast discovery of threatening cardiovascular and respiratory symptoms during the current pandemic as well as for the future. Managing and sorting patients at emergency, ambulance, in the clinics or long-care facilities requires a quick screening technology to discover individuals with early signs of COVID19 that may save their lives and lives of people around them.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
554953-2020
Name nom
Douplik, Alexandre
Department département
Physics
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
50000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
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
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Discovering COVID-19 early symptoms by contactless optical monitoring of cardiovascular and respiratory system via smartphone_x000d_
_x000d_
_x000d_
_x000d_
Keyword
NSERC
Application summary
This partnership will develop technology for discovering COVID19 early symptoms by using contactless optical monitoring of cardiovascular and respiratory system parameters via a smartphone. New findings show that among other symptoms, there are 3 parameters which are changing in combination as early signs of COVID19: increases of the respiratory and heart rates (HR, RR) and decrease of heart rate variability (HRV) Monitoring all 3 parameters can be a reliable alarm of the beginning of COVID19 development, triggering an urgent test request for the accurate diagnostics. Our industrial partner, Swift Medical seeks a partnership to develop a remote, contactless smartphone-based system for monitoring of HR, RR, and HRV parameters, which will be generating a warning message, once the parameters change beyond the normal range. This system can be also used for monitoring the patient during COVID19 progression, and the data collected can be used to develop a forecast algorithm predicting the moment of intensive care or emergency call. Both front and back camera of the smartphone can be employed: the front camera can be used for self-assessment and the back camera can be used for screening other people. The impact of this project will support medical personnel with user-friendly equipment for fast discovery of threatening cardiovascular and respiratory symptoms during the current pandemic as well as for the future. Managing and sorting patients at emergency, ambulance, in the clinics or long-care facilities requires a quick screening technology to discover individuals with early signs of COVID19 that may save their lives and lives of people around them.