Project Description
As a member of the Canadians Saving Arrest Victims Everywhere (CanSAVE) Novel Biosensor project, Mahsa's research is focused on developing wearable technologies to detect out-of-hospital sudden cardiac arrest incidents. This work involves (1) designing wearable sensors to collect bio-signals associated with cardiac arrest conditions (e.g., electrocardiogram, breathing rate); and (2) using machine learning to identify appropriate combinations of collected bio-signals to detect a sudden cardiac arrest event. The outcome of this research may contribute to rapid recognition of out-of-hospital cardiac arrest, which can summon bystanders and Emergency Medical Services to provide the required emergent life-saving interventions.
Research Classification
- Medical and biomedical engineering
Research Interests
- Wearable Technologies
- Assistive technologies
- Machine Learning
Faculty
Faculty of Medicine