Evolution Of An Automated St-Segment Analysis Program For Dynamic Real-Time, Noninvasive Detection Of Coronary-Occlusion And Reperfusion

Rf Veldkamp, Jr Bengtson,St Sawchak,Je Pope, Jr Mertens,Dw Mortara, Rm Califf,Mw Krucoff

Journal of Electrocardiology(1993)

Cited 7|Views7
No score
Abstract
Patients in whom early and stable reperfusion through the infarct artery fails after thrombolytic treatment might benefit from further revascularization therapy. A reliable noninvasive technique able to detect both reperfusion and reocclusion would be useful to test this hypothesis. However, no such technique presently exists. ST-segment recovery analysis using continuous digital 12-lead ST monitoring has been shown to be an accurate predictor of infarct artery patency in real time. This method was dependent on a trained clinician's analysis of the recordings on a personal computer. For optimal bedside application, salient principles of this ST-segment recovery analysis were converted into algorithms and built into the ST monitor software. The essentials of these algorithms are described in this report.
More
Translated text
Key words
ACUTE MYOCARDIAL INFARCTION, PATENCY ASSESSMENT, NONINVASIVE, ST-SEGMENT, CONTINUOUS ELECTROCARDIOGRAPHY, AUTOMATED ALGORITHM
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined