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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675745/ https://www.ncbi.nlm.nih.gov/pubmed/38005564 http://dx.doi.org/10.3390/s23229179 |