Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Wide-Complex Tachyarrhythmia (WCT) is an abnormality in which the heart rate is elevated and QRS complex duration is increased. An electrocardiogram (ECG) is a simple and quick test used to review heart functioning, so ECG images can be used to determine whether a patient is having an abnormal heart rhythm such as WCT. A WCT diagnosis based on the ECG can be difficult as it can take a lot of time and considerable expertise to make an accurate interpretation. Our study aims to use deep machine learning to develop a model or artificial intelligence (AI) system, trained on data from a patient population diagnosed with WCT. A successful AI system can quickly analyze and interpret ECG images with to help guide a quick and accurate WCT diagnosis. At the University of Ottawa Heart Institute, an accurate AI system can be beneficial for ECG interpretations, specifically with regards to WCT diagnosis.
Eric Croiset;Lena Ahmadi
Nishita Saha
University of Ottawa
Engineering - chemical / biological
Education
University of Waterloo
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.