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Diao Limin, Hongyu Zhong, Yi Zheng
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Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association
10.1161/cir.0000000000000950 · 2021
Accurate reconstruction of the 12-lead electrocardiogram from a 3-lead electrocardiogram measured by a mobile device
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Minimal lead sets for reconstruction of 12-lead electrocardiograms
10.1054/jelc.2000.20296 · 2000
Reconstruction of 12-lead ECG: a review of algorithms
10.3389/fphys.2025.1532284 · 2025
A novel neural-network model for deriving standard 12-lead ECGs from serial three-lead ECGs: application to self-care
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A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG
10.1631/fitee.1700413 · 2019
LSTM based Synthesis of 12-lead ECG Signal from a Reduced Lead Set
2022
Reconstruction of 12-lead ECG with an Optimized LSTM Neural Network
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AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessment
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Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination
10.1016/j.bspc.2023.104690 · 2023
Reconstructing 12-lead ECG from reduced lead sets using an encoder–decoder convolutional neural network
10.1016/j.bspc.2024.107486 · 2025
Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning
10.1038/s43856-025-00814-w · 2025
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
10.1038/s41598-021-90285-5 · 2021
Frank vectorcardiographic system from standard 12 lead ECG: An effort to enhance cardiovascular diagnosis
10.1016/j.jelectrocard.2015.12.008 · 2016
On deriving the electrocardiogram from vectorcardiographic leads
10.1002/clc.1980.3.2.87 · 1980
Reconstruction of the Frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods
10.1093/oxfordjournals.eurheartj.a059647 · 1990
Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: a comprehensive validation approach
10.1016/j.bspc.2024.106027 · 2024
A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa
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PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
2000
PTB-XL, a large publicly available electrocardiography dataset
10.1038/s41597-020-0495-6 · 2020
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
10.1016/j.engappai.2023.106414 · 2023
Leads-adaptive fetal electrocardiogram extraction using attention-based BiLSTM
2026
Reconstruction of precordial lead electrocardiogram from limb leads using the state-space model
10.1109/jbhi.2015.2415519 · 2016
The reconstruction of a 12-lead electrocardiogram from a reduced lead set using a focus time-delay neural network
2021
Lead reconstruction using artificial neural networks for ambulatory ECG acquisition
10.3390/s21165542 · 2021
Reconstruction of 12-Lead Electrocardiogram from a Three-Lead Patch-Type Device Using a LSTM Network
2020
Multiple electrocardiogram generator with single-lead electrocardiogram
10.1016/j.cmpb.2022.106858 · 2022
Multiple electrocardiogram generator with single-lead electrocardiogram
10.1016/j.cmpb.2022.106858 · doi-reference
Lead reconstruction using artificial neural networks for ambulatory ECG acquisition
10.3390/s21165542 · doi-reference
Reconstruction of precordial lead electrocardiogram from limb leads using the state-space model
10.1109/jbhi.2015.2415519 · doi-reference
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model
10.1016/j.engappai.2023.106414 · doi-reference
PTB-XL, a large publicly available electrocardiography dataset
10.1038/s41597-020-0495-6 · doi-reference
A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa
10.1016/j.artmed.2021.102135 · doi-reference
Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: a comprehensive validation approach
10.1016/j.bspc.2024.106027 · doi-reference
Reconstruction of the Frank vectorcardiogram from standard electrocardiographic leads: diagnostic comparison of different methods
10.1093/oxfordjournals.eurheartj.a059647 · doi-reference
On deriving the electrocardiogram from vectorcardiographic leads
10.1002/clc.1980.3.2.87 · doi-reference
Frank vectorcardiographic system from standard 12 lead ECG: An effort to enhance cardiovascular diagnosis
10.1016/j.jelectrocard.2015.12.008 · doi-reference
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
10.1038/s41598-021-90285-5 · doi-reference
Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning
10.1038/s43856-025-00814-w · doi-reference
Reconstructing 12-lead ECG from reduced lead sets using an encoder–decoder convolutional neural network
10.1016/j.bspc.2024.107486 · doi-reference
Restoration of missing or low-quality 12-lead ECG signals using ensemble deep-learning model with optimal combination
10.1016/j.bspc.2023.104690 · doi-reference
A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3-lead ECG
10.1631/fitee.1700413 · doi-reference
A novel neural-network model for deriving standard 12-lead ECGs from serial three-lead ECGs: application to self-care
10.1109/titb.2010.2047754 · doi-reference
Reconstruction of 12-lead ECG: a review of algorithms
10.3389/fphys.2025.1532284 · doi-reference
Minimal lead sets for reconstruction of 12-lead electrocardiograms
10.1054/jelc.2000.20296 · doi-reference
Accurate reconstruction of the 12-lead electrocardiogram from a 3-lead electrocardiogram measured by a mobile device
10.1109/access.2024.3408412 · doi-reference
Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association
10.1161/cir.0000000000000950 · doi-reference