Electrocardiogram-Based Biometric Identification Using Mixed Feature Extraction and Sparse Representation
(1) Background: The ability to recognize identities is an essential component of security. Electrocardiogram (ECG) signals have gained popularity for identity recognition because of their universal, unique, stable, and measurable characteristics. To ensure accurate identification of ECG signals, thi...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2023-11-01
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| Schriftenreihe: | Sensors |
| Schlagworte: | |
| Online-Zugang: | https://www.mdpi.com/1424-8220/23/22/9179 |
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