Current and Future Use of Artificial Intelligence in Electrocardiography

Transfer learning based deep network for signal restoration and rhythm analysis during cardiopulmonary resuscitation using only the ECG waveform

(2023) Yushun Gong et al.   INFORMATION SCIENCES

Left ventricular hypertrophy detection using electrocardiographic signal

(2023) Cheng-Wei Liu et al.   Scientific Reports

Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator

(2023) Christine P. Shen et al.   Journal of the American Heart Association

Dynamic ECG signal quality evaluation based on persistent homology and GoogLeNet method

(2023) Yonglian Ren et al.   Frontiers in Neuroscience

Development of the AI-Cirrhosis-ECG (ACE) Score: An electrocardiogram-based deep learning model in cirrhosis

(2022) Joseph C. Ahn et al.   AMERICAN JOURNAL OF GASTROENTEROLOGY

Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction

(2022) Chin Lin et al.   npj Digital Medicine

Machine learning-based heart disease diagnosis: A systematic literature review

(2022) Md Manjurul Ahsan et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

rECHOmmend: An ECG-based Machine-learning Approach for Identifying Patients at High-risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography

(2022) Alvaro E. Ulloa-Cerna et al.   CIRCULATION

Assessment of Disease Status and Treatment Response With Artificial Intelligence−Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy

(2022) Geoffrey H. Tison et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Comparison of neural basis expansion analysis for interpretable time series (N-BEATS) and recurrent neural networks for heart dysfunction classification

(2022) Bartosz Puszkarski et al.   PHYSIOLOGICAL MEASUREMENT

Abnormality classification from electrocardiograms with various lead combinations

(2022) Zhuoyang Xu et al.   PHYSIOLOGICAL MEASUREMENT

A deep residual inception network with channel attention modules for multi-label cardiac abnormality detection from reduced-lead ECG

(2022) Apoorva Srivastava et al.   PHYSIOLOGICAL MEASUREMENT

Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG

(2022) Joon-myoung Kwon et al.   Diagnostics

Development and Validation of an Artificial Intelligence Electrocardiogram Recommendation System in the Emergency Department

(2022) Dung-Jang Tsai et al.   Journal of Personalized Medicine

A High-Precision Deep Learning Algorithm to Localize Idiopathic Ventricular Arrhythmias

(2022) Ting-Yung Chang et al.   Journal of Personalized Medicine

Issues in the automated classification of multilead ECGs using heterogeneous labels and populations

(2022) Matthew A Reyna et al.   PHYSIOLOGICAL MEASUREMENT

Wearable Seismocardiography‐Based Assessment of Stroke Volume in Congenital Heart Disease

(2022) Venu G. Ganti et al.   Journal of the American Heart Association

Evaluation of an Ambulatory ECG Analysis Platform Using Deep Neural Networks in Routine Clinical Practice

(2022) Laurent Fiorina et al.   Journal of the American Heart Association

Artificial intelligence-assisted remote detection of ST-elevation myocardial infarction using a mini-12-lead electrocardiogram device in prehospital ambulance care

(2022) Ke-Wei Chen et al.   Frontiers in Cardiovascular Medicine

Kenichi Harumi Plenary Address at Annual Meeting of the International Society of Computers in Electrocardiology: “What Should ECG Deep Learning Focus on? The diagnosis of acute coronary occlusion!”

(2022) Jesse T.T. McLaren et al.   JOURNAL OF ELECTROCARDIOLOGY

Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction

(2022) Zachi I. Attia et al.   NATURE MEDICINE

An Effective Method of Detecting Characteristic Points of Impedance Cardiogram Verified in the Clinical Pilot Study

(2022) Ilona Karpiel et al.   SENSORS

Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients

(2022) Stefan Gustafsson et al.   Scientific Reports

Electrocardiogram findings at the initiation of hemodialysis and types of subsequent cardiovascular events

(2021) Satoshi Yamaguchi et al.   HYPERTENSION RESEARCH

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead Electrocardiogram and Help Identify Those at Risk of AF-Related Stroke

(2021) Sushravya Raghunath et al.   CIRCULATION

Deep Neural Network Approach for Continuous ECG‐Based Automated External Defibrillator Shock Advisory System During Cardiopulmonary Resuscitation

(2021) Shirin Hajeb‐M et al.   Journal of the American Heart Association

Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study

(2021) Baptiste Maille et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

A modified cardiac triage strategy reduces door to ECG time in patients with ST elevation myocardial infarction

(2021) Hung-Yuan Su et al.   Scientific Reports

Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram

(2021) Dongdong Zhang et al.   iScience

Artificial Intelligence-Enabled Electrocardiography to Screen Patients with Dilated Cardiomyopathy

(2021) Sanskriti Shrivastava et al.   AMERICAN JOURNAL OF CARDIOLOGY

A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification

(2021) Guixiang Li et al.   BMC Medical Informatics and Decision Making

Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome

(2021) Edi Prifti et al.   EUROPEAN HEART JOURNAL

Detection and classification of arrhythmia using an explainable deep learning model

(2021) Yong-Yeon Jo et al.   JOURNAL OF ELECTROCARDIOLOGY

Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram

(2021) Zachi I. Attia et al.   MAYO CLINIC PROCEEDINGS

Artificial Intelligence–Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis

(2021) Martha Grogan et al.   MAYO CLINIC PROCEEDINGS

Identification of 27 abnormalities from multi-lead ECG signals: an ensembled SE_ResNet framework with Sign Loss function

(2021) Zhaowei Zhu et al.   PHYSIOLOGICAL MEASUREMENT

Optimization of End-to-End Convolutional Neural Networks for Analysis of Out-of-Hospital Cardiac Arrest Rhythms during Cardiopulmonary Resuscitation

(2021) Irena Jekova et al.   SENSORS

Performance of a Convolutional Neural Network and Explainability Technique for 12-Lead Electrocardiogram Interpretation

(2021) J. Weston Hughes et al.   JAMA Cardiology

Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: comparing common clinical risk scores and machine learning algorithms

(2021) Gregory Y H Lip et al.   European Heart Journal-Quality of Care and Clinical Outcomes

Atrial fibrillation and stroke: are we looking in the right direction?

(2021) Stéphane N Hatem et al.   CARDIOVASCULAR RESEARCH

Rational and design of ST-segment elevation not associated with acute cardiac necrosis (LESTONNAC). A prospective registry for validation of a deep learning system assisted by artificial intelligence

(2021) Manuel Martínez-Sellés et al.   JOURNAL OF ELECTROCARDIOLOGY

Application of Dense Neural Networks for Detection of Atrial Fibrillation and Ranking of Augmented ECG Feature Set

(2021) Vessela Krasteva et al.   SENSORS

Real‐Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks

(2021) Sandeep Chandra Bollepalli et al.   Journal of the American Heart Association

Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks

(2021) Junaid Malik et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization

(2020) Josef Stehlik et al.   Circulation-Heart Failure

Artificial intelligence for detecting mitral regurgitation using electrocardiography

(2020) Joon-myoung Kwon et al.   JOURNAL OF ELECTROCARDIOLOGY

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

(2020) Siti Nurmaini et al.   Electronics

Usefulness of Machine-Learning-Based Detection and Classification of Cardiac Arrhythmias with 12-Lead Electrocardiograms

(2020) Kuan-Cheng Chang et al.   CANADIAN JOURNAL OF CARDIOLOGY

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks

(2020) Iraia Isasi et al.   Entropy

Deep learning for comprehensive ECG annotation

(2020) Benjamin A. Teplitzky et al.   HEART RHYTHM

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network

(2020) Sushravya Raghunath et al.   NATURE MEDICINE

Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms

(2020) Vessela Krasteva et al.   SENSORS

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

(2020) Antônio H. Ribeiro et al.   Nature Communications

Performance of a convolutional neural network derived from an ECG database in recognizing myocardial infarction

(2020) Hisaki Makimoto et al.   Scientific Reports

Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography

(2020) Joon‐Myoung Kwon et al.   Journal of the American Heart Association

ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network

(2020) Jing Zhang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Artificial Intelligence Algorithm for Screening Heart Failure with Reduced Ejection Fraction Using Electrocardiography

(2020) Jinwoo Cho et al.   ASAIO JOURNAL

A Deep Learning Approach for Featureless Robust Quality Assessment of Intermittent Atrial Fibrillation Recordings from Portable and Wearable Devices

(2020) Álvaro Huerta Herraiz et al.   Entropy

Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model

(2020) Yung-Hui Li et al.   SENSORS

The year in cardiovascular medicine 2020: digital health and innovation

(2020) Charalambos Antoniades et al.   EUROPEAN HEART JOURNAL

Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography

(2020) Younghoon Cho et al.   Scientific Reports

Deep learning and the electrocardiogram: review of the current state-of-the-art

(2020) Sulaiman Somani et al.   EUROPACE

Rates of Cardiac Rhythm Abnormalities in Patients with CKD and Diabetes

(2019) Nazem Akoum et al.   Clinical Journal of the American Society of Nephrology

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia

(2019) Artzai Picon et al.   PLoS One

Deep learning approach for a shock advise algorithm using short electrocardiogram analysis intervals

(2019) Unai Irusta et al.   RESUSCITATION

Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery

(2019) Geoffrey H. Tison et al.  

An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction

(2019) Zachi I Attia et al.   LANCET

Hemodialysis Procedure–Associated Autonomic Imbalance and Cardiac Arrhythmias: Insights From Continuous 14‐Day ECG Monitoring

(2019) Nichole M. Rogovoy et al.   Journal of the American Heart Association

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

(2018) Shu Lih Oh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of ECG beats using deep belief network and active learning

(2018) Sayantan G. et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch

(2018) Geoffrey H. Tison et al.   JAMA Cardiology

Towards End-to-End ECG Classification with Raw Signal Extraction and Deep Neural Networks

(2018) Shensheng Sean Xu et al.   IEEE Journal of Biomedical and Health Informatics

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

(2018) Zachi I. Attia et al.   NATURE MEDICINE

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

Simple and Robust Realtime QRS Detection Algorithm Based on Spatiotemporal Characteristic of the QRS Complex

(2016) Jinkwon Kim et al.   PLoS One

Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status

(2015) David Filgueiras-Rama et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Accuracy of methods for diagnosing atrial fibrillation using 12-lead ECG: A systematic review and meta-analysis

(2015) Jaspal S. Taggar et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

Comparison of 24-hour Holter Monitoring with 14-day Novel Adhesive Patch Electrocardiographic Monitoring

(2013) Paddy M. Barrett et al.   AMERICAN JOURNAL OF MEDICINE

Fuzzy Clustered Probabilistic and Multi Layered Feed Forward Neural Networks for Electrocardiogram Arrhythmia Classification

(2009) Hassan Hamsa Haseena et al.   JOURNAL OF MEDICAL SYSTEMS