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Characterization and Localization of Focal Atrial Tachycardia in Patients With Adult Congenital Heart Disease.
JACC Clin Electrophysiol
January 2025
Cardiac Electrophysiology Section, Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA; Duke Clinical Research Institute, Durham, North Carolina, USA. Electronic address:
Background: In patients with structurally normal hearts, algorithms using surface electrocardiographic P-wave morphology are helpful to predict focal atrial tachycardia (FAT) location. However, these algorithms have not been formally assessed in patients with adult congenital heart disease (ACHD).
Objectives: This study sought to assess the efficacy of FAT-location prediction algorithms in an adult population of patients with ACHD.
Acute effect of aerobic exercise on inhibitory control and task-related heart rate variability in preadolescent children.
Physiol Behav
January 2025
University of Basel, Department of Sports, Exercise and Health, Grosse Allee 6, 4052 Basel, Switzerland.
Objectives: To investigate whether a single session of aerobic exercise improves inhibitory control in preadolescent children and whether this effect is mediated by changes in parasympathetic activity.
Design: In this experimental study, an intervention and control group were pair-matched by age, sex and moderate-to-vigorous physical activity.
Method: 114 participants either completed a 20-min moderately-intense exercise bout on a cycling ergometer or watched a 20-min video.
This analysis assessed the relationship between the plasma concentrations of loperamide and its N-desmethyl loperamide meta- bolite (M1) and the potential QT interval prolongation at therapeutic and supratherapeutic doses. The exposure-response analysis was performed using the data from healthy adults participating in a randomized, double-blind, single-dose, four-way (placebo; loperamide 8 mg [therapeutic]; loperamide 48 mg [supratherapeutic]; moxifloxacin 400 mg [positive control]) crossover study. The electrocardiographic measurements extracted from 12-lead digital Holter recordings were time-matched to pharmacokinetic sampling of loperamide/M1.
View Article and Find Full Text PDFA Deep Learning Approach for Mental Fatigue State Assessment.
Sensors (Basel)
January 2025
Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing 100191, China.
This study investigates mental fatigue in sports activities by leveraging deep learning techniques, deviating from the conventional use of heart rate variability (HRV) feature analysis found in previous research. The study utilizes a hybrid deep neural network model, which integrates Residual Networks (ResNet) and Bidirectional Long Short-Term Memory (Bi-LSTM) for feature extraction, and a transformer for feature fusion. The model achieves an impressive accuracy of 95.
View Article and Find Full Text PDFEvidence Gaps and Lessons in the Early Detection of Atrial Fibrillation: A Prospective Study in a Primary Care Setting (PREFATE Study).
Biomedicines
January 2025
Unitat de Suport a la Recerca, Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 43201 Reus, Spain.
In Europe, the prevalence of AF is expected to increase 2.5-fold over the next 50 years with a lifetime risk of 1 in 3-5 individuals after the age of 55 years and a 34% rise in AF-related strokes. The PREFATE project investigates evidence gaps in the early detection of atrial fibrillation in high-risk populations within primary care.
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