用于心肌梗死诊断和监测的VR工具包

J. Ryan, C. O'Sullivan, C. Bell, N. Mulvihill
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引用次数: 0

摘要

我们开发了一个软件系统,该系统采用标准心电图(ECG)输入,并将此输入与用户定义和自动定义的标记一起解释,以诊断心肌梗死(MI)。然后,这些病理在心脏的体积模型中自动表示。在6个月的时间里,30名患者使用数字心电图系统进行监测,这些信息用于测试和开发我们的系统。我们发现stemi (ST段抬高MI)可以被成功诊断,然而nstemi(非stemi),虽然解释正确,但由于正常心电图有时会出现T波反转,因此更加模糊。同时取正常心脏的对照心电图。系统正确地将此数据解释为正常。一种标准的体素计数度量被开发出来,使得未来在心肌梗死监测方面的工作成为可能。该工具包被发现有三种可能的用途,作为临床医生的诊断工具,作为学生的教学工具,也作为患者的信息工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A VR toolkit for the diagnosis and monitoring of myocardial infarctions
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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