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Automatic diagnosis of the 12-lead ECG using a deep neural network

Automatic diagnosis of the 12-lead ECG using a deep neural network

2 April 2019
Antônio H. Ribeiro
Manoel Horta Ribeiro
Gabriela M. M. Paixão
D. Oliveira
P. R. Gomes
Jéssica A. Canazart
Milton P. S. Ferreira
Carl R. Andersson
P. Macfarlane
W. Meira Jr.
Thomas B. Schon
A. L. Ribeiro
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Papers citing "Automatic diagnosis of the 12-lead ECG using a deep neural network"

50 / 75 papers shown
Title
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
Shuang Zhou
Jiashuo Wang
Zidu Xu
Song Wang
David Brauer
...
Zaifu Zhan
Yu Hou
Mingquan Lin
Genevieve B. Melton
Rui Zhang
48
0
0
06 May 2025
Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning
Predicting Cardiopulmonary Exercise Testing Outcomes in Congenital Heart Disease Through Multi-modal Data Integration and Geometric Learning
Muhammet Alkan
G. Veldtman
F. Deligianni
53
0
0
18 Mar 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
Che Liu
C. Ouyang
Zhongwei Wan
Haozhe Wang
Wenjia Bai
Rossella Arcucci
58
1
0
25 Feb 2025
Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG
Cuong V. Nguyen
Hieu X. Nguyen
Dung D. Pham Minh
Cuong D. Do
39
0
0
19 Feb 2025
Large Language Model Benchmarks in Medical Tasks
Large Language Model Benchmarks in Medical Tasks
Lawrence K. Q. Yan
Ming Li
Y. Zhang
Caitlyn Heqi Yin
Cheng Fei
...
Ziqian Bi
Pohsun Feng
Keyu Chen
Junyu Liu
Qian Niu
LM&MA
AI4MH
53
6
0
28 Oct 2024
Teach Multimodal LLMs to Comprehend Electrocardiographic Images
Teach Multimodal LLMs to Comprehend Electrocardiographic Images
Ruoqi Liu
Yuelin Bai
Xiang Yue
Ping Zhang
22
3
0
21 Oct 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang
Tong Xia
Yuan Lu
Cecilia Mascolo
Aaqib Saeed
AI4MH
54
2
0
18 Oct 2024
Learning General Representation of 12-Lead Electrocardiogram with a
  Joint-Embedding Predictive Architecture
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
Sehun Kim
31
1
0
11 Oct 2024
Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram
  Features
Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
Juan Miguel Lopez Alcaraz
Nils Strodthoff
19
2
0
30 Aug 2024
Estimating ECG Intervals from Lead-I Alone: External Validation of
  Supervised Models
Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
Ridwan Alam
Collin M. Stultz
24
0
0
12 Aug 2024
MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with
  Electrocardiography Using Mamba Capsule Network
MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network
Yinlong Xu
Xiaoqiang Liu
Zitai Kong
YiXuan Wu
Yue Wang
Yingzhou Lu
Hong-Yan Gao
Jian Wu
Hongxia Xu
Mamba
29
6
0
30 Jul 2024
Multi-Channel Masked Autoencoder and Comprehensive Evaluations for
  Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
Jiarong Chen
Wanqing Wu
Tong Liu
Shenda Hong
19
2
0
16 Jul 2024
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models
  for ECG generation
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
Sergey Skorik
A. Avetisyan
DiffM
MedIm
44
0
0
15 Jul 2024
Computation-Efficient Semi-Supervised Learning for ECG-based
  Cardiovascular Diseases Detection
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
31
0
0
20 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous
  Clinical Electrocardiogram Monitoring
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
Thomas Kite
Uzair Tahamid Siam
Brian Ayers
Nicholas Houstis
Aaron D Aguirre
32
1
0
07 Jun 2024
Self-Trained Model for ECG Complex Delineation
Self-Trained Model for ECG Complex Delineation
A. Avetisyan
Nikolas Khachaturov
A. Asatryan
Shahane Tigranyan
Yury Markin
26
0
0
04 Jun 2024
Modally Reduced Representation Learning of Multi-Lead ECG Signals
  through Simultaneous Alignment and Reconstruction
Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
Nabil Ibtehaz
Masood S. Mortazavi
21
0
0
24 May 2024
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health
  Systems
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
Amin Aminifar
Matin Shokri
Amir Aminifar
FedML
31
8
0
09 May 2024
SleepPPG-Net2: Deep learning generalization for sleep staging from
  photoplethysmography
SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography
Shirel Attia
Revital Shani Hershkovich
Alissa Tabakhov
Angeleene Ang
Sharon Haimov
Riva Tauman
Joachim A. Behar
37
2
0
10 Apr 2024
Exploring the limitations of blood pressure estimation using the
  photoplethysmography signal
Exploring the limitations of blood pressure estimation using the photoplethysmography signal
F. M. Dias
D. Cárdenas
Marcelo A. F. Toledo
Filipe A. C. Oliveira
Estela Ribeiro
J. Krieger
Marco A. Gutierrez
29
0
0
09 Apr 2024
On the Feasibility of Deep Learning Classification from Raw Signal Data
  in Radiology, Ultrasonography and Electrophysiology
On the Feasibility of Deep Learning Classification from Raw Signal Data in Radiology, Ultrasonography and Electrophysiology
S. Enyedi
MedIm
19
0
0
25 Feb 2024
Transfer Learning in ECG Diagnosis: Is It Effective?
Transfer Learning in ECG Diagnosis: Is It Effective?
Cuong V. Nguyen
Cuong D. Do
22
7
0
03 Feb 2024
Guiding Masked Representation Learning to Capture Spatio-Temporal
  Relationship of Electrocardiogram
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Yeongyeon Na
Minje Park
Yunwon Tae
S. Joo
27
24
0
02 Feb 2024
RawECGNet: Deep Learning Generalization for Atrial Fibrillation
  Detection from the Raw ECG
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
N. Ben-Moshe
K. Tsutsui
Shany Biton Brimer
L. Sörnmo
Joachim A. Behar
30
6
0
26 Dec 2023
Bayesian ECG reconstruction using denoising diffusion generative models
Bayesian ECG reconstruction using denoising diffusion generative models
Gabriel Victorino Cardoso
Lisa Bedin
J. Duchâteau
Rémi Dubois
Eric Moulines
DiffM
27
2
0
18 Dec 2023
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac
  and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
Nils Strodthoff
Juan Miguel Lopez Alcaraz
Wilhelm Haverkamp
19
0
0
18 Dec 2023
Deep Learning Models for Arrhythmia Classification Using Stacked
  Time-frequency Scalogram Images from ECG Signals
Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals
Parshuram N. Aarotale
A. Rattani
11
0
0
01 Dec 2023
Riemannian Prediction of Anatomical Diagnoses in Congenital Heart
  Disease based on 12-lead ECGs
Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease based on 12-lead ECGs
Muhammet Alkan
G. Veldtman
F. Deligianni
11
1
0
27 Nov 2023
MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea
  Classification
MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification
Hieu X. Nguyen
Duong V. Nguyen
Hieu H. Pham
Cuong D. Do
24
1
0
25 Nov 2023
Exploring Best Practices for ECG Pre-Processing in Machine Learning
Exploring Best Practices for ECG Pre-Processing in Machine Learning
Amir Salimi
S. Kalmady
Abram Hindle
Osmar Zaiane
Padma Kaul
21
3
0
02 Nov 2023
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG
  Diagnosis
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
Cuong V. Nguyen
H. Duong
Cuong D.Do
20
4
0
27 Oct 2023
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG
  by Deep Neural Networks
End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks
Theogene Habineza
Antônio H. Ribeiro
Daniel Gedon
Joachim A. Behar
A. L. Ribeiro
Thomas B. Schon
14
7
0
28 Sep 2023
Masked Transformer for Electrocardiogram Classification
Masked Transformer for Electrocardiogram Classification
Ya Zhou
Xiaolin Diao
Yanni Huo
Yang Liu
Xiaohan Fan
Wei-Ye Zhao
MedIm
27
2
0
31 Aug 2023
Towards quantitative precision for ECG analysis: Leveraging state space
  models, self-supervision and patient metadata
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata
Temesgen Mehari
Nils Strodthoff
21
17
0
29 Aug 2023
Optimizing Neural Network Scale for ECG Classification
Optimizing Neural Network Scale for ECG Classification
ByeongTak Lee
Yong-Yeon Jo
Joon-Myoung Kwon
11
1
0
24 Aug 2023
Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient
  Pipeline for Multi-Label Classification
Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification
Amnon Bleich
A. Linnemann
Benjamin Jaidi
B. Diem
Tim Conrad
16
0
0
12 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases
  Prediction:A Multi-Dataset Study
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
Rushuang Zhou
Lei Lu
Zijun Liu
Ting Xiang
Zhen Liang
David A. Clifton
Yining Dong
Yuanyuan Zhang
41
10
0
18 Jun 2023
Multi-Classification using One-versus-One Deep Learning Strategy with
  Joint Probability Estimates
Multi-Classification using One-versus-One Deep Learning Strategy with Joint Probability Estimates
Anthony Hei Long Chan
Raymond H Chan
Lingjia Dai
8
0
0
16 Jun 2023
ElectroCardioGuard: Preventing Patient Misidentification in
  Electrocardiogram Databases through Neural Networks
ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks
Michal Seják
Jakub Sido
David Zahour
13
2
0
09 Jun 2023
Transforming ECG Diagnosis:An In-depth Review of Transformer-based
  DeepLearning Models in Cardiovascular Disease Detection
Transforming ECG Diagnosis:An In-depth Review of Transformer-based DeepLearning Models in Cardiovascular Disease Detection
Zibin Zhao
MedIm
16
10
0
02 Jun 2023
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing
  and Knowledge Discovery
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
Patrick Wagner
Temesgen Mehari
Wilhelm Haverkamp
Nils Strodthoff
36
18
0
26 May 2023
Deep Neural Networks Generalization and Fine-Tuning for 12-lead ECG
  Classification
Deep Neural Networks Generalization and Fine-Tuning for 12-lead ECG Classification
A. Avetisyan
Shahane Tigranyan
A. Asatryan
O. Mashkova
Sergey Skorik
V. Ananev
Yury Markin
LM&MA
22
5
0
19 May 2023
In-Distribution and Out-of-Distribution Self-supervised ECG
  Representation Learning for Arrhythmia Detection
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
S. Soltanieh
J. Hashemi
Ali Etemad
27
11
0
13 Apr 2023
Deep learning based ECG segmentation for delineation of diverse
  arrhythmias
Deep learning based ECG segmentation for delineation of diverse arrhythmias
Chankyu Joung
Mijin Kim
Taejin Paik
S. Kong
Seung-Young Oh
...
Joong-Sik Hong
Wan-Joong Kim
Woong Kook
M. Cha
Otto van Koert
16
5
0
13 Apr 2023
Benchmarking the Impact of Noise on Deep Learning-based Classification
  of Atrial Fibrillation in 12-Lead ECG
Benchmarking the Impact of Noise on Deep Learning-based Classification of Atrial Fibrillation in 12-Lead ECG
Theresa Bender
Philip Gemke
Ennio Idrobo-Ávila
Henning Dathe
D. Krefting
Nicolai Spicher
9
2
0
24 Mar 2023
Effectively Modeling Time Series with Simple Discrete State Spaces
Effectively Modeling Time Series with Simple Discrete State Spaces
Michael Zhang
Khaled Kamal Saab
Michael Poli
Tri Dao
Karan Goel
Christopher Ré
AI4TS
22
45
0
16 Mar 2023
Machine learning-based detection of cardiovascular disease using ECG
  signals: performance vs. complexity
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
H. Pham
K. Egorov
Alexey Kazakov
S. Budennyy
19
6
0
10 Mar 2023
Searching for Effective Neural Network Architectures for Heart Murmur
  Detection from Phonocardiogram
Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram
Hao Wen
Ji-Su Kang
19
7
0
06 Mar 2023
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class
  Classification of Cardiac Irregularities Using ECG Waveforms and Clinical
  Notes
MVMTnet: A Multi-variate Multi-modal Transformer for Multi-class Classification of Cardiac Irregularities Using ECG Waveforms and Clinical Notes
Ankur Samanta
Mark Karlov
Meghna Ravikumar
Christian McIntosh Clarke
Jayakumar Rajadas
Kaveh Hassani
15
1
0
21 Feb 2023
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label
  Arrhythmia by Multi-View Knowledge Transferring
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring
Yuzhen Qin
Li Sun
Hui Chen
Wei-Qiang Zhang
Wenming Yang
Jintao Fei
Guijin Wang
26
14
0
28 Jan 2023
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