The baseline examination was carried out from 2008 through 2010 and included interviews, clinical, anthropometric examinations, overnight urine, ECG, IMT, echocardiography, retinography, HR variability, and PWV (Complior). All centres were submitted to a central training and validation. A biologic ...
Cardiovascular disease is a major global public health problem, and intelligent diagnostic approaches play an increasingly important role in the analysis of electrocardiograms (ECGs). Convenient wearable ECG devices enable the detection of transient arrh
Atrial septal aneurysm mimicking ECG signs of enlarged right atrium In a routine ECG from a young asymptomatic woman, changes in P-wave morphology and the frontal plane atrial vector were noted. Two-dimensional echocardiogr... EP Scholz,E Zitron,HA Katus,... - Europace : European pacing, ar...
However, general MLLMs perform poorly in cardiac disease diagnosis, particularly in the integration of ECG data analysis and long-text medical report generation, mainly due to the complexity of ECG data analysis and the gap between text and ECG signal modalities. Additionally, models often exhibit ...
l ECG: Sinus rhythm and ST-T wave changes. l Chest CT: 1. Infection in both lungs, pleural thickening & adhesion on both sides; 2. multiple enlarged mediastinal lymph nodes; 3. splenomegaly. l Head and Brain MRI: 1. Ischemic lesions in frontal and parietal lobes on both sides; 2. si...
The baseline examination was carried out from 2008 through 2010 and included interviews, clinical, anthropometric examinations, overnight urine, ECG, IMT, echocardiography, retinography, HR variability, and PWV (Complior). All centres were submitted to a central training and validation. A biologic ...
The purpose of this study was to establish a relationship between the atrial activation assessed by signal-averaged P wave ECG (SAPW) and episodes of paroxysmal atrial fibrillation (PAF) in patients (pts) with WPW syndrome (WPWS). Methods fourteen pts with documented episodes of PAF, without ...
CNN is a neural network model used for locating effective features of EEG and EMG signals and extracting them. Several studies have recently employed CNNs for biological signal processing, such as waveform detection for ECG/EEG signals of humans12,13,14,15, and showed that CNNs can extract ef...
The first set of analyses had three within-subject factor levels to explore differential responses to the gambling outcomes (wins, near-misses and full-misses) for SCR, ECG and SRs. The second set of analyses focused on the different subtypes of near-misses, using three within-subject factor ...
Atrial flutter and atrial tachycardia detection using Bayesian approach with high resolution time–frequency spectrum from ECG recordings Contemporary methods of atrial flutter (AFL), atrial tachycardia (AT), and atrial fibrillation (AF) monitoring, although superior to the standard 12-lead E... J Le...