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Clinical presentation, acute care management and discharge information of patients with thoracic trauma in South Africa and Sweden: a prospective multicenter observational study.
Eur J Trauma Emerg Surg
January 2025
Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Purpose: Thoracic trauma causes pain and hospitalisation. Middle- and high-income countries have different trauma contexts and populations. To report patients' clinical presentation (pain and shortness of breath) and its influence on hospital length of stay (LOS), acute care management, and discharge destinations in South Africa (SA) and Sweden.
View Article and Find Full Text PDFHarnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT.
Commun Med (Lond)
January 2025
Division of Pulmonary Medicine, Department of Medicine, Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Lausanne, Switzerland.
Background: Bronchiolitis Obliterans Syndrome (BOS), a fibrotic airway disease that may develop after lung transplantation, conventionally relies on pulmonary function tests (PFTs) for diagnosis due to limitations of CT imaging. Deep neural networks (DNNs) have not previously been used for BOS detection. This study aims to train a DNN to detect BOS in CT scans using an approach tailored for low-data scenarios.
View Article and Find Full Text PDFSpiking-PhysFormer: Camera-based remote photoplethysmography with parallel spike-driven transformer.
Neural Netw
January 2025
Tsinghua University, Beijing, China. Electronic address:
Artificial neural networks (ANNs) can help camera-based remote photoplethysmography (rPPG) in measuring cardiac activity and physiological signals from facial videos, such as pulse wave, heart rate and respiration rate with better accuracy. However, most existing ANN-based methods require substantial computing resources, which poses challenges for effective deployment on mobile devices. Spiking neural networks (SNNs), on the other hand, hold immense potential for energy-efficient deep learning owing to their binary and event-driven architecture.
View Article and Find Full Text PDFLow-intensity aerobic cycle ergometer effects on lung function of myasthenia gravis patients: A randomized controlled trial.
Narra J
December 2024
Department of Epidemiology, Biostatistics, Population Studies and Health Promotion, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
Patients with generalized myasthenia gravis (MG) often show restrictive spirometry results. Although regular exercise and physical fitness are linked to better respiratory function, there is limited research assessing the effects of aerobic exercise on lung function in MG patients. The aim of this study was to analyze the effect of low-intensity aerobic exercise using a cycle ergometer on lung function parameters in MG patients.
View Article and Find Full Text PDFEssential oil of Lippia origanoides as an anesthetic for Piaractus mesopotamicus: implications for induction and recovery times, ventilatory frequency and blood responses after biometric management.
Braz J Biol
January 2025
Universidade Federal de Mato Grosso do Sul - UFMS, Programa de Pós-graduação em Ciência Animal, Campo Grande, MS, Brasil.
This study evaluated the use of the essential oil of Lippia origanoides (EOLO) as an anesthetic for juvenile pacu, Piaractus mesopotamicus. Two experiments were performed. In Experiment I, anesthetic induction and recovery times and ventilatory frequency (VF) were determined for fish (n= 48; 29.
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