BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets

BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets

Nowadays, Deep Learning tools have been widely applied in biometrics. Electrocardiogram (ECG) biometrics is not the exception. However, the algorithm performances rely heavily on a representative dataset for training. ECGs suffer constant temporal variations, and it is even more relevant to collect...

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Bibliographic Details
Main Authors: Paloma Tirado-Martin, Raul Sanchez-Reillo
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
ECG biometrics
Deep Learning
pattern recognition
human verification
Convolutional Neural Networks
Long-Short Term Memory
Online Access:https://www.mdpi.com/2076-3417/11/13/5880

Internet

https://www.mdpi.com/2076-3417/11/13/5880

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