Evolution of an automated ST-segment analysis program for dynamic real-time, noninvasive detection of coronary occlusion and reperfusion.
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.
Veldkamp
R F
RF
Ischemia Monitoring Laboratory, Duke University Medical Center, Durham, North Carolina 27710.
Bengtson
J R
JR
Sawchak
S T
ST
Pope
J E
JE
Mertens
J R
JR
Mortara
D W
DW
Califf
R M
RM
Krucoff
M W
MW
D004562:Electrocardiography; D006801:Humans; D008991:Monitoring, Physiologic; D009203:Myocardial Infarction / Q000188:drug therapy* / Q000503:physiopathology; D017202:Myocardial Ischemia / Q000175:diagnosis; D015425:Myocardial Reperfusion; D012815:Signal Processing, Computer-Assisted; D015912:Thrombolytic Therapy; D014654:Vascular Patency