dc.contributor.author | Babušiak, Branko | |
dc.contributor.author | Mohylová, Jitka | |
dc.date.accessioned | 2011-02-09T14:35:18Z | |
dc.date.available | 2011-02-09T14:35:18Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Advances in electrical and electronic engineering. 2008, vol. 7, no. 1, 2, p. 342-345. | en |
dc.identifier.issn | 1336-1376 | |
dc.identifier.uri | http://hdl.handle.net/10084/84205 | |
dc.description.abstract | The neural network is computational model based on the features abstraction of biological neural systems. The
neural networks have many ways of usage in technical field. They have been applied successfully to speech recognition,
image analysis and adaptive control, in order to construct software agents or autonomous robots. In this paper is described
usage of neural networks for ECG signal prediction. The ECG signal prediction can be used for automated detection of
irregular heartbeat – extrasystole. The automated detection system of unexpected abnormalities is also described in this
paper. | en |
dc.format.extent | 360681 bytes | cs |
dc.format.mimetype | application/pdf | cs |
dc.language.iso | en | en |
dc.publisher | Žilinská univerzita v Žiline. Elektrotechnická fakulta | en |
dc.relation.ispartofseries | Advances in electrical and electronic engineering | en |
dc.relation.uri | http://advances.utc.sk/index.php/AEEE | en |
dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
dc.rights | © Žilinská univerzita v Žiline. Elektrotechnická fakulta | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | |
dc.title | The EEG signal prediction bz using neural network | en |
dc.type | article | en |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |