Please use this identifier to cite or link to this item:
https://idr.nitk.ac.in/jspui/handle/123456789/13742Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Acharya U.R. | - |
| dc.contributor.author | Bhat P.S. | - |
| dc.contributor.author | Niranjan U.C. | - |
| dc.contributor.author | Kannathal N. | - |
| dc.contributor.author | Min L.C. | - |
| dc.contributor.author | Suri J.S. | - |
| dc.date.accessioned | 2020-03-31T14:15:20Z | - |
| dc.date.available | 2020-03-31T14:15:20Z | - |
| dc.date.issued | 2007 | - |
| dc.identifier.citation | Advances in Cardiac Signal Processing, 2007, Vol., pp.109-120 | en_US |
| dc.identifier.uri | 10.1007/978-3-540-36675-1_4 | - |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/13742 | - |
| dc.description.abstract | The 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.title | Visualization of cardiac health using electrocardiograms | en_US |
| dc.type | Book Chapter | en_US |
| Appears in Collections: | 3. Book Chapters | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.