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RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG

17 April 2020
S. Vijayarangan
Vignesh Ravichandran
Balamurali Murugesan
S. Preejith
J. Joseph
M. Sivaprakasam
ArXiv (abs)PDFHTML

Papers citing "RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG"

4 / 4 papers shown
Title
Joint optimization of a $β$-VAE for ECG task-specific feature
  extraction
Joint optimization of a βββ-VAE for ECG task-specific feature extraction
Viktor van der Valk
D. Atsma
R. Scherptong
Marius Staring
50
3
0
28 Mar 2023
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
20
1
0
01 Jul 2021
Dynamic-Deep: Tune ECG Task Performance and Optimize Compression in IoT
  Architectures
Dynamic-Deep: Tune ECG Task Performance and Optimize Compression in IoT Architectures
Eli Brosh
Elad Wasserstein
Anat Bremler Barr
56
0
0
30 May 2021
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D
  Convolutional Neural Network
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network
M. Zahid
S. Kiranyaz
T. Ince
Ozer Can Devecioglu
M. Chowdhury
Amith Khandakar
Anas Tahir
Moncef Gabbouj
OOD
81
63
0
29 Dec 2020
1