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Robustness vs. Efficiency in ECG Classification: A Comparative Study of Deep Learning and Classical Machine Learning Architectures

2026-03-08

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<title>Abstract</title> <p> <bold>Purpose:</bold> Cardiovascular diseases remain the predominant cause of global mortality, necessitating reliable automated tools for early diagnosis. While Deep Learning (DL) has shown superiority in medical imaging, recent studies suggest that Classical Machine Learning models may offer comparable accuracy with lower computational costs. This study investigates this accuracy v...

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Literature Corpus work: 5f578af9-7981-515c-8991-d381921ebd40
DOI: 10.21203/rs.3.rs-8987933/v1

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