Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches

Research article (Biomedical Signal Processing and Control, 2024) · cited 68× · AI/ML
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Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches

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Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-ecg-classification-a-comparative-study-of-1d-and-2d-representations-and-multimodal-fusion-approaches
MLA “Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-ecg-classification-a-comparative-study-of-1d-and-2d-representations-and-multimodal-fusion-approaches.
BibTeX @misc{4ortxyz_deep-learning-for-ecg-classification-a-comparative-study-of-1d-and-2d-representations-and-multimodal-fusion-approaches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-ecg-classification-a-comparative-study-of-1d-and-2d-representations-and-multimodal-fusion-approaches}, note = {Accessed: 2026-05-24}}
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