Abstract
The article 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, pre-process 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nugent, C.D., Webb, J.A.C., Black, N.D., Wright, G.T.H.: Electrocardiogram 2: Classification. Automedica 17, 281–306 (1999)
Nugent, C.D., Lopez, J.A., Smith, A.E., Black, N.D.: Reverse engineering of neural network classifiers in medical applications. In: Proc. of the VII EFOMP Congress, Physica Medica, vol. XVII, p. 184 (2001)
Fausett, L.: Fundamentals of Neural Network. Prentice Hall (1994) ISBN:0-13-334186-0
Rumelhart, D.E., Hinton, G.E., William, R.J.: Learning Representations by Back-Propagation Errors. Nature 323, 533–536 (1986)
Russell, S., Norvig, P.: Artificial Intelligence - A Modern Approach, 2nd edn. Prentice Hall (2003)
Tangkraingkij, P., Lursinsap, C., Sanguansintukul, S., Desudchit, T.: Selecting Relevant EEG Signal Locations for Personal Identification Problem Using ICA and Neural Network. In: Eighth IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, pp. 616–621 (2009)
Volna, E., Kotyrba, M., Jarusek, R.: Multiclassifier based on Elliott wave’s recognition. Computers and Mathematics with Applications 66 (2013) ISSN:0898-1221
Volna, E., Kotyrba, M., Jarušek, R.: Prediction by Means of Elliott Waves Recognition. In: Zelinka, I., Snasel, V., Rössler, O.E., Abraham, A., Corchado, E.S. (eds.) Nostradamus: Mod. Meth. of Prediction, Modeling. AISC, vol. 192, pp. 241–250. Springer, Heidelberg (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Volna, E., Kotyrba, M. (2014). ECG Prediction Based on Classification via Neural Networks. In: Zelinka, I., Suganthan, P., Chen, G., Snasel, V., Abraham, A., Rössler, O. (eds) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-319-07401-6_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-07401-6_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07400-9
Online ISBN: 978-3-319-07401-6
eBook Packages: EngineeringEngineering (R0)