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Privacy-preserving Framework for Automated Detection of Arrhythmia in ECG Data
The integration of machine learning in biomedical engineering applications is crucial to ensure user data security and privacy. This work explores anonymization and differential privacy (DP) frameworks to reduce the risk of biometric identification. The DP method is used to train models in biosigna...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
National Institute of Telecommunications
2025-03-01
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| Schriftenreihe: | Journal of Telecommunications and Information Technology |
| Schlagworte: | |
| Online Zugang: | https://www.jtit.pl/jtit/article/view/2042 |
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