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2019 Computing in Cardiology Conference (CinC)
Several studies in the past have evaluated the use of different ECG-based features to diagnose acute myocardial infarction (AMI). This was generally done by looking at how well a feature reflects differences between baseline (no AMI) and AMI situations. This approach tends to overlook the progress of AMI and to underestimate false positives when implemented into a continuous monitoring setting and therefore appears inadequate for it. This has hindered the adoption of those methods in thedoi:10.22489/cinc.2019.337 fatcat:h5yts4tcgzb3ffn7snhxliuwbu