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...

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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

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