Year
1995
Paper Type
Master's Thesis
College
College of Arts and Sciences
Degree Name
Master of Science in Computer and Information Sciences (MS)
Department
Computing
Committee Chairperson
Dr. Layne Wallace
Second Advisor
Dr. Charles Winton
Rights Statement
http://rightsstatements.org/vocab/InC/1.0/
Third Advisor
Dr. Susan Wallace
Abstract
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.
Suggested Citation
Hudson, Erik Mark, "A Portable Computer System for Recording Heart Sounds and Data Modeling Using a Backpropagation Neural Network" (1995). UNF Graduate Theses and Dissertations. 158.
https://digitalcommons.unf.edu/etd/158
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