QRS Complex Detection in Multilead ECG Signals
but.event.date | 23.04.2015 | cs |
but.event.title | Student EEICT 2015 | cs |
dc.contributor.author | Šlancar, M. | |
dc.date.accessioned | 2015-08-25T08:42:53Z | |
dc.date.available | 2015-08-25T08:42:53Z | |
dc.date.issued | 2015 | cs |
dc.description.abstract | Automated analysis of HRV requires reliable detection of QRS complexes. We propose a detection method based on different combinations of three orthogonal (pseudoorthogonal) leads of human ECG signals. ECG signals were filtered by standard pass-band filter, Teager-Kaiser energy operator (TKEO) was applied on signal as envelope for detection. The most effective combination for QRS detection was a spatial velocity with sensitivity exceeds 99.9 % and positive predictive value near to 99.5 %. Detection algorithm has been tested on 125 real signals of CSE standard library. | en |
dc.format | text | cs |
dc.format.extent | 143-145 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 21st Conference STUDENT EEICT 2015. s. 143-145. ISBN 978-80-214-5148-3 | cs |
dc.identifier.isbn | 978-80-214-5148-3 | |
dc.identifier.uri | http://hdl.handle.net/11012/42957 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 21st Conference STUDENT EEICT 2015 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | ECG | en |
dc.subject | CSE | en |
dc.subject | TKEO | en |
dc.subject | QRS detection | en |
dc.subject | orthogonal leads | en |
dc.subject | pseudoorthogonal leads | en |
dc.subject | spatial velocity | en |
dc.subject | Teager-Kaiser energy operator. | en |
dc.title | QRS Complex Detection in Multilead ECG Signals | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |