A Study on User Recognition Using the Generated Synthetic Electrocardiogram Signal
Electrocardiogram (ECG) signals are time series data that are acquired by time change. A problem with these signals is that comparison data that have the same size as the registration data must be acquired every time. A network model of an auxiliary classifier based generative adversarial neural net...
Main Authors: | Min-Gu Kim, Sung Bum Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/5/1887 |
Similar Items
-
Ensemble Networks for User Recognition in Various Situations Based on Electrocardiogram
by: Min-Gu Kim, et al.
Published: (2020-01-01) -
A Wavelet-based Approach to Electrocardiogram (ECG) and Phonocardiogram (PCG) Subject Recognition
by: Fatemian, Seyedeh Zahra
Published: (2009) -
A Wavelet-based Approach to Electrocardiogram (ECG) and Phonocardiogram (PCG) Subject Recognition
by: Fatemian, Seyedeh Zahra
Published: (2009) -
Sex Recognition through ECG Signals Aiming toward Smartphone Authentication
by: Gomez, L., et al.
Published: (2022) -
Two-Step Biometrics Using Electromyogram Signal Based on Convolutional Neural Network-Long Short-Term Memory Networks
by: Jin-Su Kim, et al.
Published: (2021-07-01)