Sparse Matrix for ECG Identification with Two-Lead Features

Electrocardiograph (ECG) human identification has the potential to improve biometric security. However, improvements in ECG identification and feature extraction are required. Previous work has focused on single lead ECG signals. Our work proposes a new algorithm for human identification by mapping...

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Detalles Bibliográficos
Autores principales: Tseng, Kuo-Kun, Luo, Jiao, Hegarty, Robert, Wang, Wenmin, Haiting, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415669/
https://www.ncbi.nlm.nih.gov/pubmed/25961074
http://dx.doi.org/10.1155/2015/656807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415669/
https://www.ncbi.nlm.nih.gov/pubmed/25961074
http://dx.doi.org/10.1155/2015/656807

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