Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram

Convolutional Neural Network for Individual Identification Using Phase Space Reconstruction of Electrocardiogram

Electrocardiogram (ECG) biometric provides an authentication to identify an individual on the basis of specific cardiac potential measured from a living body. Convolutional neural networks (CNN) outperform traditional ECG biometrics because convolutions can produce discernible features from ECG thro...

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Bibliographic Details
Main Authors: Hsiao-Lung Chan, Hung-Wei Chang, Wen-Yen Hsu, Po-Jung Huang, Shih-Chin Fang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
ECG biometric
individual identification
phase space reconstruction
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/23/6/3164

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