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Clinical value of quantitative echocardiographic features in preterm infants with necrotizing enterocolitis.
Sci Rep
January 2025
Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.
This study investigated the correlation between quantitative echocardiographic characteristics within 3 days of birth and necrotizing enterocolitis (NEC) and its severity in preterm infants. A retrospective study was conducted on 168 preterm infants with a gestational age of < 34 weeks. Patients were categorized into NEC and non-NEC groups.
View Article and Find Full Text PDFCharacteristics of transition to turbulence in a healthy thoracic aorta using large eddy simulation.
Sci Rep
January 2025
University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan, 680-749, Republic of Korea.
This study employed large eddy simulation (LES) with the wall-adapting local eddy-viscosity (WALE) model to investigate transitional flow characteristics in an idealized model of a healthy thoracic aorta. The OpenFOAM solver pimpleFoam was used to simulate blood flow as an incompressible Newtonian fluid, with the aortic walls treated as rigid boundaries. Simulations were conducted for 30 cardiac cycles and ensemble averaging was employed to ensure statistically reliable results.
View Article and Find Full Text PDFAbility of dynamic chest radiography to identify left ventricular systolic dysfunction in heart failure.
Int J Cardiovasc Imaging
January 2025
Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
Dynamic chest radiography (DCR) can estimate haemodynamic parameters in heart failure (HF). However, no studies have evaluated its ability to determine cardiac systolic function in HF. This experimental study investigates the correlation between left ventricular (LV) ejection fraction (LVEF) and DCR image parameters in HF.
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 PDFOptimization of Video Heart Rate Detection Based on Improved SSA Algorithm.
Sensors (Basel)
January 2025
School of Sciences, Xi'an Technological University, Xi'an 710021, China.
A solution to address the issues of environmental light interference in Remote Photoplethysmography (rPPG) methods is proposed in this paper. First, signals from the face's region of interest (ROI) and background noise signals are simultaneously collected, and the two signals are processed by a differential to obtain a more accurate rPPG signal. This method effectively suppresses background noise and enhances signal quality.
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