A novel visualization technique for voluminous ECG data acquired over several hours is presented. The classified data is displayed in a sector graph, with a menu driven hierarchical display strategy, which progressively unfolds greater details for chosen intervals. A color code is employed to identify different types of abnormalities. Provision is made for fine tuning the classification. © 2002 Elsevier Science Ltd. All rights reserved.

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dc.contributor.authorAcharya, A.U.
dc.contributor.authorSubbanna Bhat, P.
dc.contributor.authorNiranjan, U.C.
dc.date.accessioned2026-02-05T11:00:30Z
dc.date.issuedComprehensive visualization of cardiac health using electrocardiograms
dc.description.abstract2002
dc.identifier.citationComputers in Biology and Medicine, 2002, 32, 1, pp. 49-54
dc.identifier.issn104825
dc.identifier.urihttps://doi.org/10.1016/S0010-4825(01)00029-4
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/27997
dc.subjectElectrocardiography
dc.subjectHierarchical systems
dc.subjectVisualization
dc.subjectHierarchical display strategy
dc.subjectCardiology
dc.subjectarticle
dc.subjectcolor
dc.subjectcomputer program
dc.subjectelectrocardiogram
dc.subjecthealth
dc.subjectheart arrhythmia
dc.subjectheart rate
dc.subjectPR interval
dc.subjectpriority journal
dc.subjectQRS complex
dc.subjecttechnique
dc.subjectComputer Graphics
dc.subjectData Display
dc.subjectElectrocardiography, Ambulatory
dc.subjectHeart Rate
dc.subjectHumans
dc.subjectSignal Processing, Computer-Assisted
dc.subjectSoftware
dc.titleA novel visualization technique for voluminous ECG data acquired over several hours is presented. The classified data is displayed in a sector graph, with a menu driven hierarchical display strategy, which progressively unfolds greater details for chosen intervals. A color code is employed to identify different types of abnormalities. Provision is made for fine tuning the classification. © 2002 Elsevier Science Ltd. All rights reserved.

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