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Myocardial Infarction Detection from ECG: A Gramian Angular Field-based 2D-CNN Approach
Our proposed approach achieves an average classification accuracy of 99. 68\%, 99. 80\%, 99. 82\%, and 99. 84\% under GASF dataset with noise and baseline wander, GADF dataset with noise and baseline wander, GASF dataset with noise and baseline wander removed, and GADF dataset with noise and baseline wander removed, respectively.
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