Applying artificial intelligence to wearable sensor data to diagnose and predict cardiovascular disease: a review
Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …
[HTML][HTML] Analysis of various techniques for ECG signal in healthcare, past, present, and future
Cardiovascular diseases are the primary reason for mortality worldwide. As per WHO survey
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
report in 2019, 17.9 million people died due to CVDs, accounting for 32% of all global …
A new 12-lead ECG signals fusion method using evolutionary CNN trees for arrhythmia detection
The 12 leads of electrocardiogram (ECG) signals show the heart activities from different
angles of coronal and axial planes; hence, the signals of these 12 leads have functional …
angles of coronal and axial planes; hence, the signals of these 12 leads have functional …
Robust electrocardiogram delineation model for automatic morphological abnormality interpretation
Abstract Knowledge of electrocardiogram (ECG) wave signals is one of the essential steps
in diagnosing heart abnormalities. Considerable performance with respect to obtaining the …
in diagnosing heart abnormalities. Considerable performance with respect to obtaining the …
[HTML][HTML] Identification of atrial fibrillation with single-lead mobile ECG during normal sinus rhythm using deep learning
J Kim, SJ Lee, B Ko, M Lee, YS Lee… - Journal of Korean …, 2024 - ncbi.nlm.nih.gov
Background The acquisition of single-lead electrocardiogram (ECG) from mobile devices
offers a more practical approach to arrhythmia detection. Using artificial intelligence for atrial …
offers a more practical approach to arrhythmia detection. Using artificial intelligence for atrial …
[HTML][HTML] Machine learning for detecting atrial fibrillation from ecgs: Systematic review and meta-analysis
C Xie, Z Wang, C Yang, J Liu, H Liang - Reviews in Cardiovascular …, 2024 - imrpress.com
Background: Atrial fibrillation (AF) is a common arrhythmia that can result in adverse
cardiovascular outcomes but is often difficult to detect. The use of machine learning (ML) …
cardiovascular outcomes but is often difficult to detect. The use of machine learning (ML) …
M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion
Z Li, Y Jin, Y Tian, J Liu, M Wang, X Wei, L Zhao… - … Applications of Artificial …, 2024 - Elsevier
Background Electrocardiogram (ECG) is a critical diagnostic tool used for screening atrial
fibrillation (AF). In recent years, several deep learning-based ECG automatic diagnosis …
fibrillation (AF). In recent years, several deep learning-based ECG automatic diagnosis …
Delineation of 12-lead ECG representative beats using convolutional encoder–decoders with residual and recurrent connections
V Krasteva, T Stoyanov, R Schmid… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The aim of this study is to address the challenge of 12-lead ECG delineation by different
encoder–decoder architectures of deep neural networks (DNNs). This study compares four …
encoder–decoder architectures of deep neural networks (DNNs). This study compares four …
ECGVEDNET: A Variational Encoder-Decoder Network for ECG Delineation in Morphology Variant ECGs
Electrocardiogram (ECG) delineation to identify the fiducial points of ECG segments, plays
an important role in cardiovascular diagnosis and care. Whilst deep delineation frameworks …
an important role in cardiovascular diagnosis and care. Whilst deep delineation frameworks …
Advancing ECG Diagnosis Using Reinforcement Learning on Global Waveform Variations Related to P Wave and PR Interval
The reliable diagnosis of cardiac conditions through electrocardiogram (ECG) analysis
critically depends on accurately detecting P waves and measuring the PR interval. However …
critically depends on accurately detecting P waves and measuring the PR interval. However …