Year of Publication
College of Arts and Sciences
Master of Science in Computer and Information Sciences (MS)
Dr. Layne Wallace
Dr. Charles Winton
Dr. Susan Wallace
Cardiac auscultation is the primary tool used by cardiologists to diagnose heart problems. Although effective, auscultation is limited by the effectiveness of human hearing. Digital sound technology and the pattern classification ability of neural networks may offer improvements in this area. Digital sound technology is now widely available on personal computers in the form of sound cards. A good deal of research over the last fifteen years has shown that neural networks can excel in diagnostic problem solving. To date, most research involving cardiology and neural networks has focussed on ECG pattern classification. This thesis explores the prospects of recording heart sounds in Wave format and extracting information from the Wave file for use with a backpropagation neural network in order to classify heart patterns.
Hudson, Erik Mark, "A Portable Computer System for Recording Heart Sounds and Data Modeling Using a Backpropagation Neural Network" (1995). UNF Theses and Dissertations. 158.