ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster

The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection systems that have been created with usage of neural...

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Main Authors: Eva Volna, Martin Kotyrba, Hashim Habiballa
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/205749
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author Eva Volna
Martin Kotyrba
Hashim Habiballa
author_facet Eva Volna
Martin Kotyrba
Hashim Habiballa
author_sort Eva Volna
collection DOAJ
description The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection systems that have been created with usage of neural networks. The experimental part makes it possible to load ECG signals, preprocess them, and classify them into given classes. Outputs from the classifiers carry a predictive character. All experimental results from both of the proposed classifiers are mutually compared in the conclusion. We also experimented with the new method of time series transparent prediction based on fuzzy transform with linguistic IF-THEN rules. Preliminary results show interesting results based on the unique capability of this approach bringing natural language interpretation of particular prediction, that is, the properties of time series.
format Article
id doaj-art-7bbe2c2b91bd474f8f96aa5463a76908
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-7bbe2c2b91bd474f8f96aa5463a769082025-02-03T05:51:18ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/205749205749ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic ForecasterEva Volna0Martin Kotyrba1Hashim Habiballa2University of Ostrava, 30 Dubna 22, 70103 Ostrava, Czech RepublicUniversity of Ostrava, 30 Dubna 22, 70103 Ostrava, Czech RepublicUniversity of Ostrava, 30 Dubna 22, 70103 Ostrava, Czech RepublicThe paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection systems that have been created with usage of neural networks. The experimental part makes it possible to load ECG signals, preprocess them, and classify them into given classes. Outputs from the classifiers carry a predictive character. All experimental results from both of the proposed classifiers are mutually compared in the conclusion. We also experimented with the new method of time series transparent prediction based on fuzzy transform with linguistic IF-THEN rules. Preliminary results show interesting results based on the unique capability of this approach bringing natural language interpretation of particular prediction, that is, the properties of time series.http://dx.doi.org/10.1155/2015/205749
spellingShingle Eva Volna
Martin Kotyrba
Hashim Habiballa
ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
The Scientific World Journal
title ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
title_full ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
title_fullStr ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
title_full_unstemmed ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
title_short ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
title_sort ecg prediction based on classification via neural networks and linguistic fuzzy logic forecaster
url http://dx.doi.org/10.1155/2015/205749
work_keys_str_mv AT evavolna ecgpredictionbasedonclassificationvianeuralnetworksandlinguisticfuzzylogicforecaster
AT martinkotyrba ecgpredictionbasedonclassificationvianeuralnetworksandlinguisticfuzzylogicforecaster
AT hashimhabiballa ecgpredictionbasedonclassificationvianeuralnetworksandlinguisticfuzzylogicforecaster