Recently, it has been shown that even experts in electrocardiography cannot differentiate the electrocardiographic pattern of genuine Brugada syndrome (BrS) from Brugada phenocopy (BrP). For this reason, this differentiation depends on the presence of established criteria both for BrS and BrP. In this manuscript, we present a patient with type 1 Brugada electrocardiographic pattern caused by expansive anterior mediastinal non-Hodgkin's lymphoma (NHL) with mechanical compression on the right ventricular outflow tract. The electrocardiographic pattern disappeared rapidly after antineoplastic measures.
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http://dx.doi.org/10.1111/anec.12509 | DOI Listing |
JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, 300072 China.
Motor planning plays a pivotal role in daily life. Transcutaneous auricular vagus nerve stimulation (taVNS) has been demonstrated to enhance decision-making efficiency, illustrating its potential use in cognitive modulation. However, current research primarily focuses on behavioral and single-modal electrophysiological signal, such as electroencephalography (EEG) and electrocardiography (ECG).
View Article and Find Full Text PDFPediatr Neurol
January 2025
Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Pediatrics Research Group, Institut de Recerca Sant Pau (IR-Sant Pau), Barcelona, Spain; Pediatric Neurology Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Background: Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy associated with loss-of-function variants in the SCN1A gene. Although predominantly expressed in the central nervous system, SCN1A is also expressed in the heart, suggesting a potential link between neuronal and cardiac channelopathies. Additionally, DS carries a high risk of sudden unexpected death in epilepsy (SUDEP).
View Article and Find Full Text PDFSensors (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 PDFBiomedicines
December 2024
Clinical and Rehabilitation Cardiology Division, San Filippo Neri Hospital, 00135 Rome, Italy.
Brugada syndrome (BrS) is an inherited arrhythmogenic disorder characterized by distinct electrocardiographic patterns and an increased risk of sudden cardiac death due to ventricular arrhythmias. Effective management of BrS is essential, particularly for high-risk patients with recurrent arrhythmias. While implantable cardioverter-defibrillator (ICD) is effective in terminating life-threatening arrhythmias, it does not prevent arrhythmia onset and can lead to complications such as inappropriate shocks.
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