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

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...

Full description

Bibliographic Details
Main Authors: Jae-Neung Lee, Yeong-Hyeon Byeon, Sung-Bum Pan, Keun-Chang Kwak
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
personal identification
principal component analysis
electrocardiogram
PCANet
EigenECG Network
CU-ECG
MIT-BIH ECG database
Online Access:https://www.mdpi.com/1424-8220/18/11/4024

Internet

https://www.mdpi.com/1424-8220/18/11/4024

Similar Items