[HTML][HTML] Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis
Z Zou, B Chen, D **ao, F Tang, X Li - Journal of Medical Internet Research, 2024 - jmir.org
Background Real-time monitoring of pediatric epileptic seizures poses a significant
challenge in clinical practice. In recent years, machine learning (ML) has attracted …
challenge in clinical practice. In recent years, machine learning (ML) has attracted …
[HTML][HTML] Improved stacked ensemble with genetic algorithm for automatic ecg diagnosis of children living in high-altitude areas
Electrocardiogram (ECG) is a commonly used diagnostic tool in clinical practice that plays a
vital role in the diagnosis and treatment of various heart diseases. Previous studies have …
vital role in the diagnosis and treatment of various heart diseases. Previous studies have …
Dense lead contrast for self-supervised representation learning of multilead electrocardiograms
Usually, manual labeling of large-scale electrocardiograms (ECGs) for deep learning is
always expensive, as it requires considerable effort and time from cardiologists. Currently …
always expensive, as it requires considerable effort and time from cardiologists. Currently …
[HTML][HTML] Blending Ensemble Learning Model for 12-Lead Electrocardiogram-Based Arrhythmia Classification
The increasing prevalence of heart diseases has driven the development of automated
arrhythmia classification systems using machine learning and electrocardiograms (ECGs) …
arrhythmia classification systems using machine learning and electrocardiograms (ECGs) …
Universal 12-lead ECG representation for signal denoising and cardiovascular disease detection by fusing generative and contrastive learning
With the wide use of electrocardiogram (ECG) technology, more and more ECGs have been
collected and stored. However, ECG labeling is costly and laborious, the utilization of …
collected and stored. However, ECG labeling is costly and laborious, the utilization of …
A novel diagnosis method combined dual-channel SE-ResNet with expert features for inter-patient heartbeat classification
As the number of patients with cardiovascular diseases (CVDs) increases annually, a
reliable and automated system for detecting electrocardiogram (ECG) abnormalities is …
reliable and automated system for detecting electrocardiogram (ECG) abnormalities is …
A multi-module algorithm for heartbeat classification based on unsupervised learning and adaptive feature transfer
The scarcity of annotated data is a common issue in the realm of heartbeat classification
based on deep learning. Transfer learning (TL) has emerged as an effective strategy for …
based on deep learning. Transfer learning (TL) has emerged as an effective strategy for …
Identification and classification of arrhythmic heartbeats from electrocardiogram signals using feature induced optimal extreme gradient boosting algorithm
S Majumder, S Bhattacharya, P Debnath… - Computer Methods in …, 2024 - Taylor & Francis
Arrhythmic heartbeat classification has gained a lot of attention to accelerate the detection of
cardiovascular diseases and mitigating the potential cause of one-third of deaths worldwide …
cardiovascular diseases and mitigating the potential cause of one-third of deaths worldwide …
Automated arrhythmia classification based on a pyramid dense connectivity layer and BiLSTM
X Wan, X Mei, Y Chen, J Luo… - Technology and Health …, 2024 - journals.sagepub.com
Background Deep<? show [AQ ID= GQ5 POS= 12pt]?> neural networks (DNNs) have
recently been significantly applied to automatic arrhythmia classification. However, their …
recently been significantly applied to automatic arrhythmia classification. However, their …
Variational quantum neural network with optimized ansatz for predicting malignant ventricular arrhythmias
Preventive strategies should be the utmost priority when dealing with diverse patients
suffering from malignant ventricular arrhythmia (MVA) that can lead to sudden cardiac death …
suffering from malignant ventricular arrhythmia (MVA) that can lead to sudden cardiac death …