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C Gonzalez-Maniega, D Garcia-Arribas, C Olmos, J Higueras, P4424
Comparison between computational electrocardiographic diagnostic algorithms and ECG expert evaluation, European Heart Journal, Volume 39, Issue suppl_1, August 2018, ehy563.P4424, https://doi.org/10.1093/eurheartj/ehy563.P4424 - Share Icon Share
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Background and purpose: The electrocardiogram (ECG) has grown to become one of the most commonly used diagnostic tools in Medicine. Modern electrocardiographs frequently provide computational diagnostic algorithms that may help in automatic disease diagnosis and patient stratification.
Our aim was to compare the diagnostic performance of computational ECG analysis with a gold standard ECG diagnosis by senior cardiologists with experience in electrocardiography.
Methods: We analyzed the ECG of 250 consecutive patients that were evaluated in a tertiary care centre. Two senior cardiologists with experience in electrocardiography blindly reviewed the 250 ECGs, no clinical information or computational ECG analysis was provided. The two experts first graded the ECG as normal, subtle abnormalities that do not require treatment or findings that require specific treatment. In addition, another categorization was performed to further classify the ECGs as normal, conduction abnormalities without bradycardia, significant bradyarrhythmias, supraventricular tachyarrhythmia (SVT), acute myocardial ischemia, signs of chronic myocardial infarction, normally functioning pacemaker, pacemaker malfunction, or repolarization abnormalities compatible with chamber dilation/hypertrophy.