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ORCID: https://orcid.org/0000-0003-3074-9023 and Luengo García, David
ORCID: https://orcid.org/0000-0001-7407-3630
(2025).
ECG-Based Biometric Recognition: A Survey of Methods and Databases.
"Sensors", v. 25
(n. 6);
p. 1864.
ISSN 14248220.
https://doi.org/10.3390/s25061864.
| Título: | ECG-Based Biometric Recognition: A Survey of Methods and Databases |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Sensors |
| Fecha: | 17 Marzo 2025 |
| ISSN: | 14248220 |
| Volumen: | 25 |
| Número: | 6 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | ECG biometrics, identification, verification, ECG databases, survey |
| Escuela: | E.T.S.I. y Sistemas de Telecomunicación (UPM) |
| Departamento: | Ingeniería Telemática y Electrónica |
| Licencias Creative Commons: | Reconocimiento |
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Descargar (670kB) |
This work presents a comprehensive and chronologically ordered survey of existing studies and data sources on Electrocardiogram (ECG) based biometric recognition systems. This survey is organized in terms of the two main goals pursued in it: first, a description of the main ECG features and recognition techniques used in the existing literature, including a comprehensive compilation of references; second, a survey of the ECG databases available and used by the referenced studies. The most relevant characteristics of the databases are identified, and a comprehensive compilation of databases is given. To date, no other work has presented such a complete overview of both studies and data sources for ECG-based biometric recognition. Readers interested in the subject can obtain an understanding of the state of the art, easily identifying specific key papers by using different criteria, and become aware of the databases where they can test their novel algorithms.
| ID de Registro: | 95017 |
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| Identificador DC: | https://oa.upm.es/95017/ |
| Identificador OAI: | oai:oa.upm.es:95017 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/10344197 |
| Identificador DOI: | 10.3390/s25061864 |
| URL Oficial: | https://www.mdpi.com/3228626 |
| Depositado por: | iMarina Portal Científico |
| Depositado el: | 23 Mar 2026 16:40 |
| Ultima Modificación: | 23 Mar 2026 16:40 |
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