Přístupnostní navigace
E-application
Search Search Close
Publication detail
BLAHA, M., PROVAZNÍK, I.
Original Title
Neural Network Based Detection of Myocardial Ischemia
Type
conference paper
Language
English
Original Abstract
Artificial neural networks (ANN) are widely used in many classification problems. In this work ANNs are used in detection of myocardial ischemia. The principal idea is based on using multilayer perceptrons in QRS complex analysis where ischemia signs due electrophysiological changes are expected. ANN learn themselves from examples of ECG patterns of both ischemic and nonischemic subjects. After the training period, ANN works as a pattern signal recognizer in unknown environment.
Key words in English
Artifial neural network, myocardial ischemia, perceptron
Authors
RIV year
2003
Released
1. 1. 2003
Publisher
FEKT VUT BRNO
Location
Brno
ISBN
80-214-2378-1
Book
Proceedings of 9th Conference and Competition STUDENT EEICT 2003
Pages from
17
Pages to
21
Pages count
5
BibTex
@{BUT179711 }