Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/13742
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dc.contributor.authorAcharya U.R.-
dc.contributor.authorBhat P.S.-
dc.contributor.authorNiranjan U.C.-
dc.contributor.authorKannathal N.-
dc.contributor.authorMin L.C.-
dc.contributor.authorSuri J.S.-
dc.date.accessioned2020-03-31T14:15:20Z-
dc.date.available2020-03-31T14:15:20Z-
dc.date.issued2007-
dc.identifier.citationAdvances in Cardiac Signal Processing, 2007, Vol., pp.109-120en_US
dc.identifier.uri10.1007/978-3-540-36675-1_4-
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/13742-
dc.description.abstractThe chapter discusses an efficient and novel method to assist the physician to visualize voluminous cardiac data acquired over several hours. The system uses different colors to identify different types of cardiogram signals. In the display strategy each ECG beat is represented by a grid. The visualization strategy is hierarchical; that is, it provides for viewing of data from different level of abstraction, and the physician can have a top down approach to narrow down the time interval and signal details. This display strategy is extended to sector graph, with a menu driven hierarchical display strategy, which progressively unfolds greater details for chosen intervals. Provision is made for changing the parameters of classification, and thus the physician has the option for fine tuning the classification. © Springer-Verlag Berlin Heidelberg 2007.en_US
dc.titleVisualization of cardiac health using electrocardiogramsen_US
dc.typeBook Chapteren_US
Appears in Collections:3. Book Chapters

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