ECG Based Biometric Authentication System using Deep Learning Methods
Author:
Affiliation:
1. NIT Warangal,Dept of ECE,Warangal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9823393/9823966/09824792.pdf?arnumber=9824792
Reference15 articles.
1. BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets
2. QRS Differentiation to Improve ECG Biometrics under Different Physical Scenarios Using Multilayer Perceptron
3. ECG Authentication for Mobile Devices
4. Human authentication implemented for mobile applications based on ECG data acquired from sensorized garments;eskofier;Computing in Cardiology Conference (CinC),2015
5. A robust deep convolutional neural network for the classification of abnormal cardiac rhythm using single-lead electrocardiograms of variable length;yang;Physiological Measurement,2018
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1. An Ensemble Model of DL for ECG-Based Human Identification;IEEE Transactions on Instrumentation and Measurement;2024
2. BAED: A secured biometric authentication system using ECG signal based on deep learning techniques;Biocybernetics and Biomedical Engineering;2022-10
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