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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Detalles Bibliográficos
Autores principales: Zhang, Xu, Liu, Qifeng, He, Dong, Suo, Hui, Zhao, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675745/
https://www.ncbi.nlm.nih.gov/pubmed/38005564
http://dx.doi.org/10.3390/s23229179

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