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ECG Heartbeat Classification: A Deep Transferable Representation

ECG Heartbeat Classification: A Deep Transferable Representation

19 April 2018
Mohammad Kachuee
Shayan Fazeli
Majid Sarrafzadeh
ArXivPDFHTML

Papers citing "ECG Heartbeat Classification: A Deep Transferable Representation"

29 / 79 papers shown
Title
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional
  Generative Adversarial Networks
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
Khondker Fariha Hossain
Sharif Amit Kamran
Alireza Tavakkoli
Lei Pan
Daniel Ma
Sutharshan Rajasegarar
Chandan Karmaker
GAN
AAML
37
25
0
16 Jul 2021
HALF: Holistic Auto Machine Learning for FPGAs
HALF: Holistic Auto Machine Learning for FPGAs
Jonas Ney
D. Loroch
Vladimir Rybalkin
Nicolas Weber
Jens Krüger
Norbert Wehn
21
10
0
28 Jun 2021
Universal Consistency of Deep Convolutional Neural Networks
Universal Consistency of Deep Convolutional Neural Networks
Shao-Bo Lin
Kaidong Wang
Yao Wang
Ding-Xuan Zhou
21
22
0
23 Jun 2021
ECG Heart-beat Classification Using Multimodal Image Fusion
ECG Heart-beat Classification Using Multimodal Image Fusion
Zeeshan Ahmad
Anika Tabassum
N. Khan
L. Guan
24
24
0
28 May 2021
Neko: a Library for Exploring Neuromorphic Learning Rules
Neko: a Library for Exploring Neuromorphic Learning Rules
Zixuan Zhao
Nathan Wycoff
N. Getty
Rick L. Stevens
Fangfang Xia
22
2
0
01 May 2021
Convolutional Dynamic Alignment Networks for Interpretable
  Classifications
Convolutional Dynamic Alignment Networks for Interpretable Classifications
Christian Stewart
Mario Fritz
Bernt Schiele
16
55
0
31 Mar 2021
Intuitively Assessing ML Model Reliability through Example-Based
  Explanations and Editing Model Inputs
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
Harini Suresh
Kathleen M. Lewis
John Guttag
Arvind Satyanarayan
FAtt
45
25
0
17 Feb 2021
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted
  Labels
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels
Jintai Chen
Hongyun Yu
Ruiwei Feng
Danny Chen
Jian Wu
16
13
0
09 Feb 2021
Electrocardiogram Classification and Visual Diagnosis of Atrial
  Fibrillation with DenseECG
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Dacheng Chen
Dan Li
Xiuqin Xu
Ruizhi Yang
See-Kiong Ng
22
4
0
19 Jan 2021
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed
  Electrocardiograms
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
Song-Kyoo Kim
C. Yeun
Paul D. Yoo
Nai-Wei Lo
Ernesto Damiani
19
2
0
01 Dec 2020
Uncertainty Estimation and Calibration with Finite-State Probabilistic
  RNNs
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang
Carolin (Haas) Lawrence
Mathias Niepert
UQCV
34
10
0
24 Nov 2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG
  with Variable Length
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Linhai Ma
Liang Liang
21
8
0
08 Aug 2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG
  Synthesis to Improve Deep ECG Classification
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Tomer Golany
Daniel Freedman
Kira Radinsky
GAN
30
69
0
27 Jun 2020
On the Preservation of Spatio-temporal Information in Machine Learning
  Applications
On the Preservation of Spatio-temporal Information in Machine Learning Applications
Yigit Oktar
Mehmet Türkan
20
1
0
15 Jun 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial
  Robustness of Neural Networks
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
31
19
0
19 May 2020
Improve robustness of DNN for ECG signal classification:a
  noise-to-signal ratio perspective
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspective
Linhai Ma
Liang Liang
AAML
16
4
0
18 May 2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using
  Hierarchical Attention Networks
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks
Sajad Mousavi
Fatemeh Afghah
U. Rajendra
24
94
0
12 Feb 2020
Deep Learning for Cardiologist-level Myocardial Infarction Detection in
  Electrocardiograms
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta
Eliu A. Huerta
Zhizhen Zhao
I. Moussa
26
27
0
16 Dec 2019
AI Aided Noise Processing of Spintronic Based IoT Sensor for
  Magnetocardiography Application
AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application
Attayeb Mohsen
M. Al-Mahdawi
M. Fouda
M. Oogane
Y. Ando
Z. Fadlullah
14
13
0
08 Nov 2019
Icentia11K: An Unsupervised Representation Learning Dataset for
  Arrhythmia Subtype Discovery
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan
Guillaume Androz
A. Chamseddine
P. Fecteau
Aaron Courville
Yoshua Bengio
Joseph Paul Cohen
34
27
0
21 Oct 2019
Unsupervised Representation for EHR Signals and Codes as Patient Status
  Vector
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
Sajad Darabi
Mohammad Kachuee
Majid Sarrafzadeh
34
4
0
04 Oct 2019
Synthesis of Realistic ECG using Generative Adversarial Networks
Synthesis of Realistic ECG using Generative Adversarial Networks
Anne Marie Delaney
Eoin Brophy
T. Ward
32
79
0
19 Sep 2019
Interpretable and Steerable Sequence Learning via Prototypes
Interpretable and Steerable Sequence Learning via Prototypes
Yao Ming
Panpan Xu
Huamin Qu
Liu Ren
AI4TS
17
138
0
23 Jul 2019
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in
  Wearable Devices
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
F. Hadaeghi
30
9
0
22 Jul 2019
Topological Data Analysis for Arrhythmia Detection through Modular
  Neural Networks
Topological Data Analysis for Arrhythmia Detection through Modular Neural Networks
Meryll Dindin
Yuhei Umeda
Frédéric Chazal
16
45
0
13 Jun 2019
An Effective Multi-Resolution Hierarchical Granular Representation based
  Classifier using General Fuzzy Min-Max Neural Network
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network
Thanh Tung Khuat
Fang Chen
Bogdan Gabrys
11
15
0
29 May 2019
Ultra Low-Power and Real-time ECG Classification Based on STDP and
  R-STDP Neural Networks for Wearable Devices
Ultra Low-Power and Real-time ECG Classification Based on STDP and R-STDP Neural Networks for Wearable Devices
Alireza Amirshahi
Matin Hashemi
23
85
0
08 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
28
296
0
12 Dec 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
48
151
0
18 Jun 2018
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