Grant: Idea to Innovation
Toronto Metropolitan University
$125,000.00
Product design and technology transfer of a novel embedded AI-based real-time heart rate detector
EF 2024-25
Résumé
The project aims to develop a new heart rate detector (HRD) to improve the care of newborns who need resuscitation immediately after birth. Current methods to measure heart rate in such situations are often slow, inaccurate, or cumbersome. This project proposes a compact, user-friendly device using a single-lead ECG with innovative dry-electrode technology and embedded artificial intelligence (AI) algorithms to provide quick, accurate heart rate readings. The HRD has been designed based on feedback from healthcare professionals and has been tested for accuracy in a clinical setting. The next steps include enhancing the device for extended use, refining its AI algorithms for better performance in diverse settings, and ensuring it meets regulatory standards to bring this affordable and effective solution to hospitals worldwide.
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
598177-2024
Name nom
Krishnan, Sridhar S
Department département
Electrical, Computer and Biomedical Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
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
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Product design and technology transfer of a novel embedded AI-based real-time heart rate detector
Keywords
filtering; newborn heart rate; product design; resuscitation; sensing; signal analysis; tech readiness
Application summary
The project aims to develop a new heart rate detector (HRD) to improve the care of newborns who need resuscitation immediately after birth. Current methods to measure heart rate in such situations are often slow, inaccurate, or cumbersome. This project proposes a compact, user-friendly device using a single-lead ECG with innovative dry-electrode technology and embedded artificial intelligence (AI) algorithms to provide quick, accurate heart rate readings. The HRD has been designed based on feedback from healthcare professionals and has been tested for accuracy in a clinical setting. The next steps include enhancing the device for extended use, refining its AI algorithms for better performance in diverse settings, and ensuring it meets regulatory standards to bring this affordable and effective solution to hospitals worldwide.
