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Age group classification based on optical measurement of brain pulsation using machine learning.
Sci Rep
January 2025
Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential for the development of non-invasive wearable systems for evaluating cerebral vascular condition in aging, due to their portability and ability to monitor real-time changes in cerebral hemodynamics. In this study, thirty-six healthy adults were measured by single channel fNIRS to explore differences between two age groups using machine learning (ML). The subjects, measured during functional magnetic resonance imaging (fMRI) at Oulu University Hospital, were divided into young (age ≤ 32) and elderly (age ≥ 57) groups.
View Article and Find Full Text PDFExploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS.
Sensors (Basel)
January 2025
Department of Electrical Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates.
Accurately identifying and discriminating between different brain states is a major emphasis of functional brain imaging research. Various machine learning techniques play an important role in this regard. However, when working with a small number of study participants, the lack of sufficient data and achieving meaningful classification results remain a challenge.
View Article and Find Full Text PDFPrenatally Diagnosed Cardiac Tumors and Tuberous Sclerosis Complex: A Single-Center Experience.
Children (Basel)
January 2025
Department of Pediatrics, Division of Neonatology and Neonatal Intensive Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.
Background/objectives: Cardiac rhabdomyoma (CR), the most frequently occurring fetal cardiac tumor, is often an early marker of tuberous sclerosis complex (TSC). This study evaluates outcomes of fetuses with prenatally diagnosed cardiac tumors managed at a single tertiary center.
Methods: Medical records of fetuses diagnosed with cardiac tumors between 2009 and 2024 were retrospectively reviewed.
Risk factors for early periventricular intraventricular hemorrhage in extremely low birth weight infants: a retrospective study.
BMC Pediatr
January 2025
Department of Child Health, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510623, Guangzhou, China.
Background: This study aimed to explore the risk factors for early intraventricular hemorrhage (IVH) in extremely low birth weight infants (ELBWIs) to provide guidance for early intervention, thereby improving survival rates and quality of life for these vulnerable infants.
Methods: A retrospective study was conducted on 205 ELBWIs admitted to the Women and Children's Medical Center of Guangzhou Medical University from January 2019 to December 2023. Standard head ultrasound screening (HUS) was used to assess the presence and severity of IVH on days 1-3 and 5-7 post-birth.
At mid gestation, markers of placental function rather than maternal cardiac function are stronger determinants of birthweight.
Am J Obstet Gynecol
January 2025
Harris Birthright Research Centre for Fetal Medicine, Fetal Medicine Research Institute, King's College Hospital, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Background: The role of maternal cardiac and hemodynamic assessment during normal and complicated pregnancies has gained attention during the last few years. Some researchers suggested that the manifestation of complications in pregnancy suffering from impaired placentation is mainly driven by pre-existing cardiac changes, identifiable at an early stage by echocardiographic and hemodynamic assessment. It is therefore of great importance to determine the link between placental perfusion and maternal cardiac function and hemodynamics.
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