Further investigation of Paced Electrogram Fraction Analysis (PEFA)

The goal of this project is to develop a faster and more accurate way to detect ventricular tachycardia using an algorithm to analyze the signal results from Paced Electrogram Fractionation Analysis (PEFA); ideally real time through use of a basket catheter. St Jude Medical, our research partner, creates medical hardware specifically geared towards detecting and treating heart disease, including arrhythmia. If we are successful in our endeavor, they hope to gain an improved diagnostic system. This system will be more accurate than their old system (EnSite Velocity®), as it will use pacing rather than passive signals in the heart, and faster, as it will use a basket catheter to concurrently map all sites. The end result of this will be that fewer patients with ventricular tachycardia will be missed in hospitals and, in turn, fewer patents will present with associated diseases such as hypertrophic cardiomyopathy and myocardial infarctions.

Faculty Supervisor:

Dr. Damian Redfearn

Student:

Divyanshu Gupta, Javad Hashemi, Mohammad Hassan Shariat

Partner:

St. Jude Medical

Discipline:

Engineering - computer / electrical

Sector:

Medical devices

University:

Queen's University