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Our long-term aim is to prospectively identify patients at risk for developing
ventricular tachycardia (VT). We seek to determine risk for VT by analysis of body-surface electrocardiograms acquired during normal sinus rhythm . Previously we identified frequency-domain features that identified patients with myocardial infarcts, who are at risk for developing VT. We expect to improve identification of risk for VT by studying patterns of inferred potentials near infarct sites. To do this on a routine basis in a clinical setting, we want to make torso measurement as simple as possible. This work was supported in part by National Institutes of Health Grant RO1-HL50295, the Armag Foundation, and Washington University |
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