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Our method has been extensively evaluated on two publicly available datasets, CHB-MIT and Siena, demonstrating strong performance across key metrics. On the CHB-MIT dataset, the proposed approach achieves an accuracy of 95.24%, a sensitivity of 94.69% and a specificity of 95.85%. Similarly, on the Siena dataset, it attains an accuracy of 91.88%, a sensitivity of 92.32%, and a specificity of 91.59%. 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