Mining of an electrocardiogram

Urszula Markowska-Kaczmar, Bartosz Kordas

Abstract


The widespread use of medical information systems and rapid growth of medical databases require methods of efficient computer-assisted analysis. In this paper we focus on the QRS complex detection in electrocardiogram but, the idea of further recognition of anomalies in QRS complexes based on the immunology approach is described, as well. In order to detect QRS complexes, a neural network ensemble is proposed. It consists of three neural networks. The details of this solution are described and the results of the experimental study are shown.

Full Text:

PDF


DOI: http://dx.doi.org/10.17951/ai.2006.4.1.218-229
Date of publication: 2006-01-01 00:00:00
Date of submission: 2016-04-27 10:15:08


Statistics


Total abstract view - 470
Downloads (from 2020-06-17) - PDF - 0

Indicators



Refbacks

  • There are currently no refbacks.


Copyright (c) 2015 Annales UMCS Sectio AI Informatica

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.