Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/10313
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dc.contributor.authorRajendra, Acharya, U.
dc.contributor.authorSubbanna, Bhat, P.
dc.contributor.authorNiranjan, U.C.
dc.date.accessioned2020-03-31T08:18:54Z-
dc.date.available2020-03-31T08:18:54Z-
dc.date.issued2002
dc.identifier.citationComputers in Biology and Medicine, 2002, Vol.32, 1, pp.49-54en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/10313-
dc.description.abstractA 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.en_US
dc.titleComprehensive visualization of cardiac health using electrocardiogramsen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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