Temporal and spatial self supervised learning methods for electrocardiograms
Abstract The limited availability of labeled ECG data restricts the application of supervised deep learning methods in ECG detection. Although existing self-supervised learning approaches have been applied to ECG analysis, they are predominantly image-based, which limits their effectiveness. To addr...
| Published in: | Scientific Reports |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-90084-2 |
