Automatic Segmentation of SCG Signal for Ischemic Patients

Research has shown that by monitoring the vibration of the heart using a simple sensor mounting on the human chest, the mechanical characteristics of heart can be measured. The purpose of this research is to design software that can automatically find some important points on the SCG signal. The software will be used to find hemodynamic parameters of the heart that will be used for diagnosis of ischemic heart patients. The outcome of this project is anticipated be extremely beneficial for both academia and the company. By successful completion of this project, multiple publications and patents will help improve the field of cardiac engineering.

Intern: 
Farzad Khosrow-khavar
Faculty Supervisor: 
Dr. Carlo Menon
Province: 
British Columbia
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