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| http://dx.doi.org/10.1177/15357597211004276 | DOI Listing |
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Spiking-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.
View Article and Find Full Text PDFArtificial Intelligence-Guided Lung Ultrasound by Nonexperts.
JAMA Cardiol
January 2025
Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois.
Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).
Background: While aerobic exercises have demonstrated efficacy in slowing cognitive decline and improving psychological symptoms associated with cognitive impairments, they may not be feasible due to multiple disabilities. Other gentle exercises with mindful approaches, such as "Yoga-like", have been explored but lack clear evidence.
Aim: To assess the efficacy of a "Yoga-like" intervention on cognitive and psychological features in patients with mild to moderate Alzheimer Disease (AD).
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