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Paper Details

Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome.
J Electrocardiol
6
2021
ST80, T, acute coronary syndrome, chest pain, culprit, emergency, patients
Author NameAffiliation
Ziad FaramandUSA University of Pittsburgh Medical Center (UPMC)
Richard E GreggAdvanced Algorithm Research Center
Stephanie Helman
Christian Martin-GillUSA University of Pittsburgh Medical Center (UPMC)
Samir SabaDivision of Cardiology at University of Pittsburgh, USA University of Pittsburgh Medical Center (UPMC)
Clifton W CallawayUSA University of Pittsburgh Medical Center (UPMC)
Clifton W CallawayUSA University of Pittsburgh Medical Center (UPMC)
Ervin Sejdi??USA Department of Biomedical Informatics at School of Medicine
Salah S Al-ZaitiUSA Division of Cardiology at University of Pittsburgh
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Release 1.2