Optimization of the Compression Parameters of a Phonocardiographic Telediagnosis System Using Genetic Algorithms

Authors:
Juan Martínez-Alajarín;Javier Garrigós-Guerrero;Ramón Ruiz-Merino
Affiliations:
Universidad Politécnica de Cartagena, Cartagena 30202, Spain;Universidad Politécnica de Cartagena, Cartagena 30202, Spain;Universidad Politécnica de Cartagena, Cartagena 30202, Spain
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Year:
2007

Citing 2
Cited 1

An Introduction to Genetic Algorithms for Scientists and Engineers

An Introduction to Genetic Algorithms for Scientists and Engineers
Comparison of Psychoacoustic Principles and Genetic Algorithms in Audio Compression

ICSENG '05 Proceedings of the 18th International Conference on Systems Engineering

A NARX neural network model for enhancing cardiovascular rehabilitation therapies

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Auscultation of the heart is a medical technique that still today is used to provide a fast diagnosis about the heart condition. Compression of the heart sounds (or phonocardiogram) is very convenient to reduce bandwidth in telediagnosis systems that aid the physician in the evaluation of the cardiovascular state. The compression algorithm used depends on several parameters, which can take a diversity of values. Genetic algorithms have been used to obtain the optimal set of values for the compression parameters that optimize the performance of the compression for a test set of cardiac recordings. The optimized results were obtained very quickly, and optimal values agreed for (almost) all the test records.