Current and future use of artificial intelligence in electrocardiography
M Martínez-Sellés, M Marina-Breysse - Journal of Cardiovascular …, 2023 - mdpi.com
Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …
[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
An intelligent ECG-based tool for diagnosing COVID-19 via ensemble deep learning techniques
O Attallah - Biosensors, 2022 - mdpi.com
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen
lockdown restrictions, and decrease the workload on healthcare structures. The present …
lockdown restrictions, and decrease the workload on healthcare structures. The present …
[HTML][HTML] A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
M Rostami, M Oussalah - Informatics in Medicine Unlocked, 2022 - Elsevier
Abstract Several Artificial Intelligence-based models have been developed for COVID-19
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
disease diagnosis. In spite of the promise of artificial intelligence, there are very few models …
A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
Interpretation and classification of arrhythmia using deep convolutional network
P Singh, A Sharma - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) signal analysis can be time-consuming, tedious, and error-prone.
Therefore, automated analysis is need of time that will assist clinicians in detecting cardiac …
Therefore, automated analysis is need of time that will assist clinicians in detecting cardiac …
Deep learning techniques in the classification of ECG signals using R-peak detection based on the PTB-XL dataset
Deep Neural Networks (DNNs) are state-of-the-art machine learning algorithms, the
application of which in electrocardiographic signals is gaining importance. So far, limited …
application of which in electrocardiographic signals is gaining importance. So far, limited …
Clinical applications, methodology, and scientific reporting of electrocardiogram deep-learning models: A systematic review
Background The electrocardiogram (ECG) is one of the most common diagnostic tools
available to assess cardiovascular health. The advent of advanced computational …
available to assess cardiovascular health. The advent of advanced computational …
Interpretable machine learning techniques in ECG-based heart disease classification: a systematic review
Heart disease is one of the leading causes of mortality throughout the world. Among the
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …
different heart diagnosis techniques, an electrocardiogram (ECG) is the least expensive non …
Arrhythmia classification using ECG signal: A meta-heuristic improvement of optimal weighted feature integration and attention-based hybrid deep learning model
WS Admass, GA Bogale - Biomedical Signal Processing and Control, 2024 - Elsevier
In healthcare facilities, the most common and least expensive diagnostic tool for monitoring
electrical signals in the heart is the Electrocardiogram (ECG). Arrhythmia is nothing but …
electrical signals in the heart is the Electrocardiogram (ECG). Arrhythmia is nothing but …