Title :
Novel approach toward medical signals classifier
Author :
Marcin Wózniak;Dawid Połap;Robert K. Nowicki;Christian Napoli;Giuseppe Pappalardo;Emiliano Tramontana
Author_Institution :
Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland
fDate :
7/1/2015 12:00:00 AM
Abstract :
In this paper a novel approach to automatic medical signal diagnosis is proposed. The authors propose a solution based on the application of Computational Intelligence (CI) to assist classification procedure based on Neural Network (NN) attempt. Experiments have been performed with the proposed CI solution applied on retrieved digital signals of various heart actions to help in missing or incomplete data gathering. Then this knowledge was applied as a training set in proposed NN classifier used to recognize potential dangers and therefore work as Decision Support System (DSS) designed for medical purposes.
Keywords :
"Electrocardiography","Medical diagnostic imaging","Artificial neural networks","Adaptation models","Computational modeling"
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
DOI :
10.1109/IJCNN.2015.7280556