Publication detail

Neural Network Based Detection of Myocardial Ischemia

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

BLAHA, M., PROVAZNÍK, I.

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

@inproceedings{BUT10515,
  author="Milan {Blaha} and Valentine {Provazník}",
  title="Neural Network Based Detection of Myocardial Ischemia",
  booktitle="Proceedings of 9th Conference and Competition STUDENT EEICT 2003",
  year="2003",
  pages="5",
  publisher="FEKT VUT BRNO",
  address="Brno",
  isbn="80-214-2378-1"
}