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dc.contributor.authorREILLY, RICHARD
dc.date.accessioned2008-07-17T19:55:21Z
dc.date.available2008-07-17T19:55:21Z
dc.date.issued2003
dc.date.submitted2003en
dc.identifier.citationde Chazal P., Heneghan C., Sheridan E., Reilly R., Nolan P., O Malley M., Automated processing of the single lead electrocardiogram for the detection of obstructive sleep apnoea, IEEE Trans. of Biomedical Engineering, 50, (6), 2003, p686-696en
dc.identifier.otherYen
dc.identifier.other51949
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/19020
dc.descriptionPUBLISHEDen
dc.description.abstractA method for the automatic processing of the electrocardiogram (ECG) for the detection of obstructive apnoea is presented. The method screens nighttime single-lead ECG recordings for the presence of major sleep apnoea and provides a minute-by-minute analysis of disordered breathing. A large independently validated database of 70 ECG recordings acquired from normal subjects and subjects with obstructive and mixed sleep apnoea, each of approximately eight hours in duration, was used throughout the study. Thirty-five of these recordings were used for training and 35 retained for independent testing. A wide variety of features based on heartbeat intervals and an ECG-derived respiratory signal were considered. Classifiers based on linear and quadratic discriminants were compared. Feature selection and regularization of classifier parameters were used to optimize classifier performance. Results show that the normal recordings could be separated from the apnoea recordings with a 100% success rate and a minute-by-minute classification accuracy of over 90% is achievable.en
dc.format.extent481241 bytes
dc.format.extent686 696en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofseriesIEEE Trans. of Biomedical Engineeringen
dc.relation.ispartofseries50 (6)en
dc.rightsYen
dc.subjectElectrocardiogramen
dc.subjectestimated respirationen
dc.subjectheart rate variabilityen
dc.subjectpattern recognitionen
dc.subjectsleep apnoeaen
dc.titleAutomated processing of the single lead electrocardiogram for the detection of obstructive sleep apnoeaen
dc.typeJournal Articleen
dc.contributor.sponsorHealth Research Board
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/reillyri
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/10/27110/01203807.pdf?tp=&isnumber=&arnumber=1203807


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