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IEEE3d
Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data - IEEE Xplore
Electrocardiogram (ECG) is a common diagnostic indicator of heart disease in hospitals. Because of the low price and noninvasiveness of ECG diagnosis, it is widely used for prescreening and physical ...
IEEE4d
Normal and Abnormal ECG Signal Classification using Deep Learning
A technique for tracking heart rate using electrodes and spotting minute electrical changes in individual heart rates is called an electrocardiogram (ECG). This looks at a variety of aberrant cardiac ...
ahajournals.org4d
Noninvasive ECG Imaging of Electrophysiologically Abnormal Substrates in Infarcted Hearts | Circulation - AHA/ASA Journals
Standard 12-Lead ECG Figure 2 shows a standard 12-lead ECG derived from the computed torso potentials. The 12-lead ECG from the preinfarction heart (top panel) serves as control and illustrates that ...
BMJ5d
Effects of prehospital 12-lead ECG on processes of care and mortality in acute coronary syndrome: a linked cohort study from the Myocardial Ischaemia National Audit Project | Heart
Objective To describe patterns of prehospital ECG (PHECG) use and determine its association with processes and outcomes of care in patients with ST-elevation myocardial infarction (STEMI) and ...