| dc.contributor.author | REILLY, RICHARD | |
| dc.date.accessioned | 2008-08-25T13:16:46Z | |
| dc.date.available | 2008-08-25T13:16:46Z | |
| dc.date.created | 24-27 Sept. | en |
| dc.date.issued | 2000 | |
| dc.date.submitted | 2000 | en |
| dc.identifier.citation | O'Dwyer, M.; deChazal, P.; and Reilly, R. B., 'Beat classification for use in arrhythmia analysis' in Proceedings of the Computer in Cardiology 2000 Conference, Boston, 24-27 Sept., IEEE, 2000, pp 395 - 398. | en |
| dc.identifier.issn | 52258 | |
| dc.identifier.other | Y | |
| dc.identifier.other | Y | en |
| dc.identifier.uri | http://hdl.handle.net/2262/20979 | |
| dc.description | PUBLISHED | en |
| dc.description.abstract | An important step in the classification of arrhythmias is beat classification. The aim of this work is to classify the beats in the MIT-BIH Arrhythmia database and to investigate pertinent features for beat classification. A comparison is made of the classification performance using features obtained after three different processing tasks on the electrocardiogram. QRS detection, QRS onset/offset detection and P wave onset detection. Linear discriminants and quadratic discriminants were employed to model the classifier. The best classification performance of 82% was achieved by employing the QRS width as an input feature to the linear discriminant classifier | en |
| dc.format.extent | 395 | en |
| dc.format.extent | 398 | en |
| dc.format.extent | 421538 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.rights | Y | en |
| dc.subject | arrhythmias | en |
| dc.title | Beat classification for use in arrhythmia analysis | en |
| dc.type | Conference Paper | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.type.supercollection | refereed_publications | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/reillyri | |
| dc.identifier.rssuri | http://ieeexplore.ieee.org/iel5/7213/19426/00898540.pdf?tp=&isnumber=&arnumber=898540 | |
