dc.contributor.author | Pápežová, Mária | |
dc.contributor.author | Babušiak, Branko | |
dc.contributor.author | Faktorová, Dagmar | |
dc.date.accessioned | 2016-07-08T07:46:31Z | |
dc.date.available | 2016-07-08T07:46:31Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Advances in electrical and electronic engineering. 2015, vol. 13, no. 2, p. 191-197 : ill. | cs |
dc.identifier.issn | 1336-1376 | |
dc.identifier.issn | 1804-3119 | |
dc.identifier.uri | http://hdl.handle.net/10084/111803 | |
dc.description.abstract | Sensed signals from the human body provide information about the health status. The basic clinical methods used for the diagnosis of neural disorders include electroencephalography (EEG). There are a number of algorithms for automatic localization of epileptic graphoelements. Currently, the most widespread disease of the brain is epilepsy which can be diagnosed by using EEG. We will further deal with three following methods: simple arithmetic detector, detector based on median filtering and the combined application of previous methods | cs |
dc.format.extent | 687275 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Advances in electrical and electronic engineering | cs |
dc.relation.uri | http://dx.doi.org/10.15598/aeee.v13i2.1254 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | |
dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Automatic detection | cs |
dc.subject | brain mapping | cs |
dc.subject | electroencephalogram | cs |
dc.subject | epileptic graphoelements | cs |
dc.title | Automatic detection of generalized epileptic seizures | cs |
dc.type | article | cs |
dc.identifier.doi | 10.15598/aeee.v13i2.1254 | |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |