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dc.contributor.authorREILLY, RICHARD
dc.date.accessioned2008-06-23T15:51:39Z
dc.date.available2008-06-23T15:51:39Z
dc.date.issued2004
dc.date.submitted2004en
dc.identifier.citationde Chazal, Philip and O'Dwyer, M. and Reilly, R.B. 'Automatic classification of heartbeats using ECG morphology and heartbeat interval features' in IEEE Transactions on Biomedical Engineering, 51, (7), 2004, pp. 1196 ? 1206.en
dc.identifier.issn51851
dc.identifier.otherYen
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/17623
dc.descriptionPUBLISHEDen
dc.description.abstractA method for the automatic processing of the electrocardiogram (ECG) for the classification of heartbeats is presented. The method allocates manually detected heartbeats to one of the five beat classes recommended by ANSI/AAMI EC57:1998 standard, i.e., normal beat, ventricular ectopic beat (VEB), supraventricular ectopic beat (SVEB), fusion of a normal and a VEB, or unknown beat type. Data was obtained from the 44 nonpacemaker recordings of the MIT-BIH arrhythmia database. The data was split into two datasets with each dataset containing approximately 50 000 beats from 22 recordings. The first dataset was used to select a classifier configuration from candidate configurations. Twelve configurations processing feature sets derived from two ECG leads were compared. Feature sets were based on ECG morphology, heartbeat intervals, and RR-intervals. All configurations adopted a statistical classifier model utilizing supervised learning. The second dataset was used to provide an independent performance assessment of the selected configuration. This assessment resulted in a sensitivity of 75.9%, a positive predictivity of 38.5%, and a false positive rate of 4.7% for the SVEB class. For the VEB class, the sensitivity was 77.7%, the positive predictivity was 81.9%, and the false positive rate was 1.2%. These results are an improvement on previously reported results for automated heartbeat classification systems.en
dc.format.extent468510 bytes
dc.format.extent1196en
dc.format.extent1206en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseries51en
dc.relation.ispartofseries7en
dc.rightsYen
dc.subjectelectrocardiogram (ECG)en
dc.subjectheartbeat classifieren
dc.titleAutomatic classification of heartbeats using ECG morphology and heartbeat interval featuresen
dc.typeJournal Articleen
dc.contributor.sponsorEnterprise Ireland
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/reillyri
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/10/29004/01306572.pdf?tp=&isnumber=29004&arnumber=1306572&punumber=10


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