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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/205749 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832554500867489792 |
---|---|
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 |