Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East

(2023) Mohammed Yusuf Ansari et al.   IEEE Access

Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms

(2023) Weijie Sun et al.   npj Digital Medicine

Efficacy of fusion imaging for immediate post‐ablation assessment of malignant liver neoplasms: A systematic review

(2023) Pragati Rai et al.   Cancer Medicine

Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes

(2023) Shany Biton et al.   npj Digital Medicine

Deep learning for brain age estimation: A systematic review

(2023) M. Tanveer et al.   Information Fusion

Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023

(2023) Yaqoob Ansari et al.   Frontiers in Physiology

Enhancing dynamic ECG heartbeat classification with lightweight transformer model

(2022) Lingxiao Meng et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders

(2022) Chiao-Hsiang Chang et al.   Frontiers in Cardiovascular Medicine

Cardiac age detected by machine learning applied to the surface ECG of healthy subjects: Creation of a benchmark

(2022) Hein E.C. van der Wall et al.   JOURNAL OF ELECTROCARDIOLOGY

Artificial Intelligence 12 Lead ECG Based Heart Age Estimation and 1-year Outcomes After Heart Transplantation

(2022) J. Ruiz Morales et al.   JOURNAL OF HEART AND LUNG TRANSPLANTATION

From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-vs-rest classification strategy

(2022) Santiago Jiménez-Serrano et al.   PHYSIOLOGICAL MEASUREMENT

Heart age estimated using explainable advanced electrocardiography

(2022) Thomas Lindow et al.   Scientific Reports

Age estimation from sleep studies using deep learning predicts life expectancy

(2022) Andreas Brink-Kjaer et al.   npj Digital Medicine

Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry

(2022) Daichi Sone et al.   Journal of Personalized Medicine

A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network

(2021) Mengze Wu et al.   Frontiers in Computational Neuroscience

Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging

(2021) Takumi Toya et al.   Journal of the American Heart Association

Artificial intelligence-enhanced electrocardiography in cardiovascular disease management

(2021) Konstantinos C. Siontis et al.   Nature Reviews Cardiology

Transfer learning for ECG classification

(2021) Kuba Weimann et al.   Scientific Reports

Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges

(2021) Sanjeev Kumar Saini et al.   ARTIFICIAL INTELLIGENCE REVIEW

Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data

(2021) Hari Mohan Rai et al.   APPLIED INTELLIGENCE

Deep learning in ECG diagnosis: A review

(2021) Xinwen Liu et al.   KNOWLEDGE-BASED SYSTEMS

Deep neural network-estimated electrocardiographic age as a mortality predictor

(2021) Emilly M. Lima et al.   Nature Communications

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

(2021) Steven A. Hicks et al.   Scientific Reports

Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease

(2021) Naomi Hirota et al.   BMC Geriatrics

Symmetric Projection Attractor Reconstruction: Sex Differences in the ECG

(2021) Jane V. Lyle et al.   Frontiers in Cardiovascular Medicine

Optimal ECG-lead selection increases generalizability of deep learning on ECG abnormality classification

(2021) Changxin Lai et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network

(2021) Jianbiao Xiao et al.   IEEE Journal of Biomedical and Health Informatics

ML-Net: Multi-Channel Lightweight Network for Detecting Myocardial Infarction

(2021) Yangjie Cao et al.   IEEE Journal of Biomedical and Health Informatics

Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey

(2020) S. Sahoo et al.   IRBM

Transfer Learning in ECG Classification from Human to Horse Using a Novel Parallel Neural Network Architecture

(2020) Glenn Van Steenkiste et al.   Scientific Reports

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review

(2020) Fatma Murat et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2020) Sushravya Raghunath et al.   NATURE MEDICINE

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

(2020) Shenda Hong et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Review of noise removal techniques in ECG signals

(2020) Shubhojeet Chatterjee et al.   IET Signal Processing

The Genetic Makeup of the Electrocardiogram

(2020) Niek Verweij et al.   Cell Systems

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

(2020) Sulaiman Somani et al.   EUROPACE

Computer-aided diagnosis of congestive heart failure using ECG signals – A review

(2019) V. Jahmunah et al.   Physica Medica-European Journal of Medical Physics

Machine learning in the electrocardiogram

(2019) Ana Mincholé et al.   JOURNAL OF ELECTROCARDIOLOGY

Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram

(2019) Zhi Li et al.   JOURNAL OF ELECTROCARDIOLOGY

A survey on ECG analysis

(2018) Selcan Kaplan Berkaya et al.   Biomedical Signal Processing and Control

A deep learning approach for ECG-based heartbeat classification for arrhythmia detection

(2018) G. Sannino et al.   Future Generation Computer Systems-The International Journal of eScience

LiteNet: Lightweight Neural Network for Detecting Arrhythmias at Resource-Constrained Mobile Devices

(2018) Ziyang He et al.   SENSORS

Arrhythmia detection using deep convolutional neural network with long duration ECG signals

(2018) Özal Yıldırım et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

(2018) Yuki Hagiwara et al.   INFORMATION SCIENCES

Gender and age classification using a new Poincare section-based feature set of ECG

(2018) Ateke Goshvarpour et al.   Signal Image and Video Processing

Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age

(2017) Zichen Wang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Real-time Multilead Convolutional Neural Network for Myocardial Infarction Detection

(2017) Wenhan Liu et al.   IEEE Journal of Biomedical and Health Informatics

Effects of ECG sampling rate on QT interval variability measurement

(2016) Mathias Baumert et al.   Biomedical Signal Processing and Control

ECG-based heartbeat classification for arrhythmia detection: A survey

(2016) Eduardo José da S. Luz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Vital Signs: Predicted Heart Age and Racial Disparities in Heart Age Among U.S. Adults at the State Level

(2015) Quanhe Yang et al.   MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT

Effect of Multiscale PCA De-noising in ECG Beat Classification for Diagnosis of Cardiovascular Diseases

(2014) Emina Alickovic et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

The ECG in Diabetes Mellitus

(2009) Shlomo Stern et al.   CIRCULATION