A heart murmur detection system using spectrograms and artificial neural networks

Khaled Ejaz, Glenn Nordehn, Rocio Alba-Flores, Fernando Rios-Gutierrez, Stanley G Burns, Nicholas Andrisevic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Heart disease is wide spread. This paper presents a system that detects heart murmurs using signal processing techniques and artificial neural networks. The system is robust enough to detect heart sound data from many sources using different collection techniques. Frequencies below and in the range of normal human hearing are found to be important in the detection process. The system is a helpful step in the development of bringing engineering techniques to physicians to assist in detection of some heart diseases.

Original languageEnglish (US)
Title of host publicationProceedings of the IASTED International Conference on Circuits, Signals, and Systems
EditorsM.H. Rashid
Pages374-379
Number of pages6
StatePublished - Dec 1 2004
EventProceedings of the IASTED International Conference on Circuits, Signals, and Systems - Clearwater Beach, FL, United States
Duration: Nov 28 2004Dec 1 2004

Publication series

NameProceedings of the IASTED International Conference on Circuits, Signals, and Systems

Other

OtherProceedings of the IASTED International Conference on Circuits, Signals, and Systems
Country/TerritoryUnited States
CityClearwater Beach, FL
Period11/28/0412/1/04

Keywords

  • Applications
  • Artificial Neural Networks
  • Digital Signal Processing
  • Heart Murmur

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