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A Generative Adversarial Approach To ECG Synthesis And Denoising

A Generative Adversarial Approach To ECG Synthesis And Denoising

6 September 2020
K. Antczak
    GAN
ArXiv (abs)PDFHTML

Papers citing "A Generative Adversarial Approach To ECG Synthesis And Denoising"

4 / 4 papers shown
Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914
Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914
Fernanda Zapata Bascuñán
Darío Fernando Mendieta
SyDa
76
0
0
01 Oct 2025
Classification and Self-Supervised Regression of Arrhythmic ECG Signals
  Using Convolutional Neural Networks
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
B. Grabowski
P. Głomb
Wojciech Masarczyk
Pawel Plawiak
Ozal Yildirim
U. Acharya
Ruyan Tan
305
4
0
25 Oct 2022
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Leveraging Statistical Shape Priors in GAN-based ECG SynthesisIEEE Access (IEEE Access), 2022
Nour Neifar
A. Ben-Hamadou
Afef Mdhaffar
M. Jmaiel
Bernd Freisleben
GAN
246
17
0
22 Oct 2022
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach
  with Reduced Error
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error
Asiful Arefeen
A. Akbari
Seyed Iman Mirzadeh
R. Jafari
B. Shirazi
Hassan Ghasemzadeh
170
6
0
01 Jul 2021
1
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