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Convolutional Recurrent Neural Networks for Electrocardiogram
  Classification

Convolutional Recurrent Neural Networks for Electrocardiogram Classification

17 October 2017
Martin Zihlmann
Dmytro Perekrestenko
Michael Tschannen
ArXivPDFHTML

Papers citing "Convolutional Recurrent Neural Networks for Electrocardiogram Classification"

14 / 14 papers shown
Title
Towards Personalized Healthcare in Cardiac Population: The Development
  of a Wearable ECG Monitoring System, an ECG Lossy Compression Schema, and a
  ResNet-Based AF Detector
Towards Personalized Healthcare in Cardiac Population: The Development of a Wearable ECG Monitoring System, an ECG Lossy Compression Schema, and a ResNet-Based AF Detector
Wei-Ying Yi
Peng Liu
Sheung-Lai Lo
Ya-Fen Chan
Yu Zhou
Yee Leung
Kam-Sang Woo
Alex Pui-Wai Lee
Jiaming Chen
K. Leung
18
1
0
11 Jul 2022
Supraventricular Tachycardia Detection and Classification Model of ECG
  signal Using Machine Learning
Supraventricular Tachycardia Detection and Classification Model of ECG signal Using Machine Learning
Pampa Howladar
Manodipan Sahoo
26
2
0
24 Dec 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
26
49
0
29 May 2021
Deconvolution-and-convolution Networks
Deconvolution-and-convolution Networks
Yimin Yang
Wandong Zhang
Jonathan Wu
Will Zhao
Ao Chen
21
8
0
22 Mar 2021
A deep convolutional neural network model for rapid prediction of
  fluvial flood inundation
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Syed Kabir
S. Patidar
X. Xia
Q. Liang
J. Neal
G. Pender
.
AI4CE
13
1
0
20 Jun 2020
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia
  Classification
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification
S. Vijayarangan
Balamurali Murugesan
Vignesh Ravichandran
P. PreejithS.
J. Joseph
M. Sivaprakasam
FAtt
9
29
0
11 Apr 2020
The Effect of Data Augmentation on Classification of Atrial Fibrillation
  in Short Single-Lead ECG Signals Using Deep Neural Networks
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks
F. Hatamian
Nishant Ravikumar
Sulaiman Vesal
Felix P. Kemeth
M. Struck
Andreas Maier
18
32
0
07 Feb 2020
Driver Identification via the Steering Wheel
Driver Identification via the Steering Wheel
Bernhard Gahr
Shu Liu
Kevin Koch
F. Barata
André Dahlinger
Benjamin Ryder
E. Fleisch
Felix Wortmann
LLMSV
13
4
0
09 Sep 2019
Improving Heart Rate Variability Measurements from Consumer Smartwatches
  with Machine Learning
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
Martin Maritsch
Caterina Bérubé
Mathias Kraus
Vera Lehmann
Thomas Züger
Stefan Feuerriegel
T. Kowatsch
Felix Wortmann
6
21
0
17 Jul 2019
Classification of Cardiac Arrhythmias from Single Lead ECG with a
  Convolutional Recurrent Neural Network
Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network
J. V. Zaen
O. Chételat
M. Lemay
E. M. Calvo
R. Delgado-Gonzalo
21
14
0
25 Jun 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling
  Electrocardiography Signals
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
linda Qiao
Cao Xiao
Tengfei Ma
Hongyan Li
Jimeng Sun
21
67
0
27 May 2019
1D Convolutional Neural Networks and Applications: A Survey
1D Convolutional Neural Networks and Applications: A Survey
S. Kiranyaz
Onur Avcı
Osama Abdeljaber
T. Ince
Moncef Gabbouj
D. Inman
3DV
25
1,880
0
09 May 2019
LSTM-Based ECG Classification for Continuous Monitoring on Personal
  Wearable Devices
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad
M. Oveisi
Matin Hashemi
23
296
0
12 Dec 2018
Classification of 12-Lead ECG Signals with Bi-directional LSTM Network
Classification of 12-Lead ECG Signals with Bi-directional LSTM Network
A. Mostayed
David A. Moore
Srinivas Vasudevan
W. Wee
15
43
0
05 Nov 2018
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