A virtual reality toolkit for the diagnosis and monitoring of myocardial infarctions
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2005Citation:
John Ryan, Carol O'Sullivan, Christopher Bell and Niall Mulvihill. 'A virtual reality toolkit for the diagnosis and monitoring of myocardial infarctions' in Eurographics / IEEE VGTC Workshop Proceedings Fourth International Workshop on Volume Graphics, Stony Brook, NY, June 2005, pp 55 - 62Download Item:
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Abstract:
We have developed a software system that takes standard electrocardiogram (ECG) input and interprets this input along with user-defined and automatically defined markers to diagnose myocardial infarctions (MI). These pathologies are then automatically represented within a volumetric model of the heart. Over a period of six months 30 patients were monitored using a digital ECG system and this information was used to test and develop our system. It was found that the STEMIs (ST segment Elevation MI) were successfully diagnosed, however NSTEMIs (Non-STEMI), although correctly interpreted, were more ambiguous due to the fact that T wave inversions are sometimes seen on normal ECGs. Control ECGs of normal hearts were also taken. The system correctly interpreted this data as being normal. A standard voxel-count metric was developed so that future work in MI monitoring will be possible. The toolkit was found to be beneficial for three possible uses, as a diagnostic tool for clinicians, as a teaching tool for students and also as an information tool for the patient.
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http://people.tcd.ie/osullicaDescription:
PUBLISHEDStony Brook, NY
Author: BELL, CHRISTOPHER; O'SULLIVAN, CAROL ANN
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Eurographics / IEEE VGTC Workshop Proceedings Fourth International Workshop on Volume GraphicsType of material:
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myocardial infarction, volume graphics, ST elevation, ECGThe following license files are associated with this item: