An EigenECG Network Approach Based on PCANet for Personal Identification from ECG Signal

We herein propose an EigenECG Network (EECGNet) based on the principal component analysis network (PCANet) for the personal identification of electrocardiogram (ECG) from human biosignal data. The EECGNet consists of three stages. In the first stage, ECG signals are preprocessed by normalization and...

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Detalles Bibliográficos
Autores principales: Lee, Jae-Neung, Byeon, Yeong-Hyeon, Pan, Sung-Bum, Kwak, Keun-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263947/
https://www.ncbi.nlm.nih.gov/pubmed/30453697
http://dx.doi.org/10.3390/s18114024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263947/
https://www.ncbi.nlm.nih.gov/pubmed/30453697
http://dx.doi.org/10.3390/s18114024

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