MSGformer: A multi-scale grid transformer network for 12-lead ECG arrhythmia detection
C Ji, L Wang, J Qin, L Liu, Y Han, Z Wang - Biomedical Signal Processing …, 2024 - Elsevier
The electrocardiogram (ECG) is a ubiquitous medical diagnostic tool employed to identify
arrhythmias that are characterized by anomalous waveform morphology and erratic …
arrhythmias that are characterized by anomalous waveform morphology and erratic …
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges
This paper presents a comprehensive systematic review of generative models (GANs, VAEs,
DMs, and LLMs) used to synthesize various medical data types, including imaging …
DMs, and LLMs) used to synthesize various medical data types, including imaging …
Classification feasibility test on multi-lead electrocardiography signals generated from single-lead electrocardiography signals
Nowadays, Electrocardiogram (ECG) signals can be measured using wearable devices,
such as smart watches. Most wearable devices provide only a few details; however, they …
such as smart watches. Most wearable devices provide only a few details; however, they …
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis …
The Center for Disease Control estimates that over 37 million US adults suffer from chronic
kidney disease (CKD), yet 9 out of 10 of these individuals are unaware of their condition due …
kidney disease (CKD), yet 9 out of 10 of these individuals are unaware of their condition due …
LabVIEW-Enabled Synthetic Signal for Empowering Fetal-Maternal Healthcare
Biomedical signal processing has advanced to the point that tools and methods are now
available to doctors to diagnose and track medical conditions connected to pregnancy …
available to doctors to diagnose and track medical conditions connected to pregnancy …
Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification
Arrhythmia detection in electrocardiogram (ECG) signals is a vital aspect of cardiovascular
health monitoring. Current automated methods for arrhythmia classification often struggle to …
health monitoring. Current automated methods for arrhythmia classification often struggle to …
Feasibility and validity of using deep learning to reconstruct 12-lead ECG from three‑lead signals
LH Wang, YY Zou, CX Xie, T Yang, PAR Abu - Journal of Electrocardiology, 2024 - Elsevier
Background In the field of mobile health, portable dynamic electrocardiogram (ECG)
monitoring devices often have a limited number of lead electrodes due to considerations …
monitoring devices often have a limited number of lead electrodes due to considerations …
[PDF][PDF] Biosignal Authentication Considered Harmful Today
V Krish, N Paoletti, MK Mehrabadi… - USENIX Security …, 2024 - kclpure.kcl.ac.uk
User authentication systems based on cardiovascular biosignals have gained prominence
in recent years, as these signals are presumed to be difficult to forge. We challenge this …
in recent years, as these signals are presumed to be difficult to forge. We challenge this …
[PDF][PDF] CTGGAN: Reliable Fetal Heart Rate Signal Generation Using GANs
Ensuring fetal health during pregnancy is critically dependent on precise Fetal Heart Rate
(FHR) monitoring. A major challenge in this area is the limited availability of labeled FHR …
(FHR) monitoring. A major challenge in this area is the limited availability of labeled FHR …
[PDF][PDF] Denoising ECG Signals using Weighted Iterative UFIR Filtering
C LASTRE-DOMINGUEZ, V JÍMENEZ-RAMOS… - researchgate.net
The electrocardiogram (ECG) holds paramount importance in diagnosing heart disease, and
as it persists leading cause of global mortality. Over the past decades, diverse techniques …
as it persists leading cause of global mortality. Over the past decades, diverse techniques …