title: Evolution of an automated ST-segment analysis program for dynamic real-time, noninvasive detection of coronary occlusion and reperfusion.
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.
authors.affiliation: Ischemia Monitoring Laboratory, Duke University Medical Center, Durham, North Carolina 27710.
authors.forename: R F
authors.initials: RF
authors.lastname: Veldkamp
authors.forename: J R
authors.initials: JR
authors.lastname: Bengtson
authors.forename: S T
authors.initials: ST
authors.lastname: Sawchak
authors.forename: J E
authors.initials: JE
authors.lastname: Pope
authors.forename: J R
authors.initials: JR
authors.lastname: Mertens
authors.forename: D W
authors.initials: DW
authors.lastname: Mortara
authors.forename: R M
authors.initials: RM
authors.lastname: Califf
authors.forename: M W
authors.initials: MW
authors.lastname: Krucoff
mesh_terms: 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