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CARG Health Devices: Simulation and Modeling of Physiological Devices and Systems

The CARG team works on creating simulations and models for health-related devices and systems. Our goal is to make biomedical devices work better and more efficiently using advanced computational methods.

Motivation

CARG is motivated by the need to make health monitoring devices more accurate and reliable. By developing models and simulations, we aim to understand and improve how these devices interact with the human body.

Current Research

Here are some of their recent projects:
  • Model based device design: We’re using simulations to improve the design and performance of devices that monitor cardiovascular and respiratory systems. For example, we explored how skin tone and other factors impact the accuracy of pulse oximeters.
  • CPAP and Heart Function: They studied how CPAP (a common therapy for sleep apnea) affects the heart. Interestingly, while CPAP can reduce cardiac output mechanically, it also increases it by reducing afterload.

Future Directions

Looking ahead, CARG wants to:
  • Personalize Health Monitoring: We’re working on models that adapt to individual differences, making devices more accurate for everyone, regardless of their unique physiology.
  • Use AI in Modeling: By integrating artificial intelligence, they hope to better predict how devices will perform and how they’ll affect patients.
  • Build Real-Time Feedback Systems: They aim to create devices that can give immediate feedback to patients and healthcare providers, making healthcare decisions faster and better.

Publications

Researchers

Academic Collaborators

Researcher NameUniversity/InstitutePosition
Shin-ichi AndoCenter of Kyushu University HospitalResearch Professor and Director of Sleep Apnea Center
Voicu GrozaUniversity of OttawaProfessor, EECS
S. RajanCarleton UniversityProfessor, Systems and Computer Engineering
Hilmi DajaniUniversity of OttawaProfessor, EECS