Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network
Fernando Rios-Gutiérrez, Rocío Alba-Flores, K.B. Ejaz, Glenn Nordehn, N. Andrisevic, S. Burns · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
In this work we present the development of a system that can be used for the study, detection and classification of human heart sounds using digital signal processing and artificial intelligence techniques. The design and implementation of such system is broken down into two processes: digital signal processing part and artificial intelligence part. The ultimate goal of the project is to develop an intelligent system that can be used for the detection and classification of various types of human heart murmurs.