[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 …
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG
Atrial fibrillation (Afib) is a heart arrhythmia that is linked to a number of other cardiac-related
issues. The incidence of Afib increases with age, causing high risks of stroke. Accurate and …
issues. The incidence of Afib increases with age, causing high risks of stroke. Accurate and …
A holistic overview of artificial intelligence in detection, classification and prediction of atrial fibrillation using electrocardiogram: a systematic review and meta-analysis
Atrial Fibrillation (AF) is the most studied cardiac arrhythmias due to its increasing
prevalence in today's scenario. Application of Artificial Intelligence (AI) for early identification …
prevalence in today's scenario. Application of Artificial Intelligence (AI) for early identification …
A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG
E Merdjanovska, A Rashkovska - Scientific Reports, 2023 - nature.com
Arrhythmia detection from ECG is an important area of computational ECG analysis.
However, although a large number of public ECG recordings are available, most research …
However, although a large number of public ECG recordings are available, most research …
Toward sleep apnea detection with lightweight multi-scaled fusion network
Sleep apnea (SA) is a common sleep disorder that occurs during sleep, leading to the
decrease of oxygen saturation in the blood. It would develop a variety of complications like …
decrease of oxygen saturation in the blood. It would develop a variety of complications like …
BAFNet: Bottleneck attention based fusion network for sleep apnea detection
Sleep apnea (SA) is a common sleep-related breathing disorder that tends to induce a
series of complications, such as pediatric intracranial hypertension, psoriasis, and even …
series of complications, such as pediatric intracranial hypertension, psoriasis, and even …
Detection of atrial fibrillation based on Stockwell transformation using convolutional neural networks
Atrial Fibrillation (AF) is a pervasive cardiac cantering rhythm that is harmful and causes
heart-related complications. AF causes an irregular heartbeat, which may show up at …
heart-related complications. AF causes an irregular heartbeat, which may show up at …
Gradient rectified parameter unit of the fully connected layer in convolutional neural networks
T Zheng, Q Wang, Y Shen, X Lin - Knowledge-Based Systems, 2022 - Elsevier
Existing visualization approaches of the convolutional neural network (CNN) present the
importance of the positive gradient in backpropagation, and remove the irrelevant negative …
importance of the positive gradient in backpropagation, and remove the irrelevant negative …
Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet
Introduction: Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is clinically
identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood …
identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood …
A novel transformer‐based ECG dimensionality reduction stacked auto‐encoders for arrhythmia beat detection
C Ding, S Wang, X Jin, Z Wang, J Wang - Medical Physics, 2023 - Wiley Online Library
Background Electrocardiogram (ECG) is a powerful tool for studying cardiac activity and
diagnosing various cardiovascular diseases, including arrhythmia. While machine learning …
diagnosing various cardiovascular diseases, including arrhythmia. While machine learning …