[HTML][HTML] Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
Twelve lead electrocardiogram signals capture unique fingerprints about the body's
biological processes and electrical activity of heart muscles. Machine learning and deep …
biological processes and electrical activity of heart muscles. Machine learning and deep …
A review of evaluation approaches for explainable AI with applications in cardiology
Explainable artificial intelligence (XAI) elucidates the decision-making process of complex AI
models and is important in building trust in model predictions. XAI explanations themselves …
models and is important in building trust in model predictions. XAI explanations themselves …
Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions
Electrocardiogram (ECG) is a non-invasive approach to capture the overall electrical activity
produced by the contraction and relaxation of the cardiac muscles. It has been established …
produced by the contraction and relaxation of the cardiac muscles. It has been established …
A robust fleet-based anomaly detection framework applied to wind turbine vibration data
Large amounts of unlabeled data are produced from wind turbine condition monitoring
systems to catch their operational status. With this unmanageable amount of data …
systems to catch their operational status. With this unmanageable amount of data …
Different types of patient health information associated with physician decision-making regarding cancer screening cessation for older adults
NL Schoenborn, CM Boyd, CE Pollack - JAMA network open, 2023 - jamanetwork.com
Importance Although guidelines use limited life expectancy to guide physician decision-
making regarding cessation of cancer screening, many physicians recommend screening for …
making regarding cessation of cancer screening, many physicians recommend screening for …
Hypuc: Hyperfine uncertainty calibration with gradient-boosted corrections for reliable regression on imbalanced electrocardiograms
The automated analysis of medical time series, such as the electrocardiogram (ECG),
electroencephalogram (EEG), pulse oximetry, etc, has the potential to serve as a valuable …
electroencephalogram (EEG), pulse oximetry, etc, has the potential to serve as a valuable …
Deep learning algorithms for estimation of demographic and anthropometric features from electrocardiograms
The electrocardiogram (ECG) has been known to be affected by demographic and
anthropometric factors. This study aimed to develop deep learning models to predict the …
anthropometric factors. This study aimed to develop deep learning models to predict the …
Association between deep neural network-derived electrocardiographic-age and incident stroke
R Leung, B Wang, M Gottbrecht, A Doerr… - Frontiers in …, 2024 - frontiersin.org
Background Stroke continues to be a leading cause of death and disability worldwide
despite improvements in prevention and treatment. Traditional stroke risk calculators are …
despite improvements in prevention and treatment. Traditional stroke risk calculators are …
Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms
ZS Al-Falahi, TT Schlegel… - … Heart Journal-Digital …, 2025 - academic.oup.com
Aims An explainable advanced electrocardiography (A-ECG) Heart Age gap is the
difference between A-ECG Heart Age and chronological age. This gap is an estimate of …
difference between A-ECG Heart Age and chronological age. This gap is an estimate of …
Advanced ECG heart age estimation applicable to both sinus and non-sinus rhythm associates with cardiovascular risk, cardiovascular morbidity, and survival
Z Al-Falahi, TT Schlegel, I Lamela-Palencia, A Li… - medRxiv, 2024 - medrxiv.org
Background: An explainable advanced electrocardiography (A–ECG) heart age gap is the
difference between A–ECG heart age and chronological age. This gap is an estimate of …
difference between A–ECG heart age and chronological age. This gap is an estimate of …