ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability-Reference-Cited by-同舟云学术

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ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods
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Author:

Eduardo Afonso¹,Aidos Helena¹,Fred Ana¹

Affiliation:

1. Instituto de Telecomunicações and Instituto Superior Técnico, Portugal

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Biometric identification based on electrocardiogram Using Markov Transition Field and Hybrid Network;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

3. An Ensemble Model of DL for ECG-Based Human Identification;IEEE Transactions on Instrumentation and Measurement;2024

4. Efficient Clustering-Based electrocardiographic biometric identification;Expert Systems with Applications;2023-06

5. Heart ID: Biometric Identification Using Wearable MIMO RF Heart Sensors;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2023-03

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