Thesis: Phonocardiogram Segmentation - Heart auscultation (the interpretation of heart sounds) is the primary tool used in screening patients for heart disease. While advanced techniques such as electrocardiograms exist, they are costly and not available in many developing countries. Heart auscultation is a subjective skill that can takes years of experience to master. Unfortunately, despite the number of patients and years of experience, it is documented that primary care physicians have poor auscultatory skills. This work analyzes heart sound recordings known as phonocardiograms using Wavelets and Principle Component Analysis. The primary goal is to segment key cardiac events in a heart sound signal. It is hoped that the results can be used in conjunction with other algorithms to provide a tool in heart auscultatory training and aid in automated heart diagnosis systems.