A Deep and Interpretable Learning Approach for Long-Term ECG Clinical Noise Classification
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Project Code :TMMASP219
Objective
The objective is to develop explainable deep learning models to classify clinical noise severity in long-term ECG recordings, improving diagnostic accuracy and enhancing clinician trust in AI-based decision support.
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