Results 11 to 20 of about 500,852 (334)
An Experimental Platform for Tomographic Reconstruction of Tissue Images in Brightfield Microscopy
Sensors, 2023 (1) Background: Reviewing biological material under the microscope is a demanding and time-consuming process, prone to diagnostic pitfalls. In this study, a methodology for tomographic imaging of tissue sections is presented, relying on the idea that ...
Panteleimon Koudounas +6 more
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Scientific Reports, 2023 The use of 24-h ambulatory blood pressure monitoring (ABPM) has been continuously increasing over the last decades. However, cuff-based devices may cause discomfort, particularly at night, leading to potentially non-representative blood pressure (BP ...
Martin Proença +8 more
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A low-cost and shielding-free ultra-low-field brain MRI scanner
Nature Communications, 2021 A low cost MRI scanner may have the potential to meet clinical needs at point of care or in low and middle income countries. Here the authors describe a low cost 0.055 Tesla MRI scanner that operates using a standard AC power outlet, and demonstrate its ...
Yilong Liu +8 more
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Autoregressive models for biomedical signal processing
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023 Autoregressive models are ubiquitous tools for the analysis of time series in many domains such as computational neuroscience and biomedical engineering. In these domains, data is, for example, collected from measurements of brain activity. Crucially, this data is subject to measurement errors as well as uncertainties in the underlying system model. As
Haderlein, JF +4 more
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Frontiers in Neuroinformatics, 2017 A wide range of segmentation approaches assumes that intensity histograms extracted from magnetic resonance images (MRI) have a distribution for each brain tissue that can be modeled by a Gaussian distribution or a mixture of them.
Diego Castillo-Barnes +9 more
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The Classification of Heartbeats from Two-Channel ECG Signals Using Layered Hidden Markov Model
Frontiers in Biomedical Technologies, 2021 Purpose: Cardiac arrhythmia is one of the most common heart diseases that can have serious consequences. Thus, heartbeat arrhythmias classification is very important to help diagnose and treat.
Azadeh Sadoughi +2 more
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Frontiers in Neuroinformatics, 2017 The rise of neuroimaging in research and clinical practice, together with the development of new machine learning techniques has strongly encouraged the Computer Aided Diagnosis (CAD) of different diseases and disorders.
Francisco J. Martinez-Murcia +6 more
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Comparison of HRV indices obtained from ECG and SCG signals from CEBS database
BioMedical Engineering OnLine, 2019 Background Heart rate variability (HRV) has become a useful tool of assessing the function of the heart and of the autonomic nervous system. Over the recent years, there has been interest in heart rate monitoring without electrodes.
Szymon Siecinski +2 more
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CACTUS: a computational framework for generating realistic white matter microstructure substrates
Frontiers in Neuroinformatics, 2023 Monte-Carlo diffusion simulations are a powerful tool for validating tissue microstructure models by generating synthetic diffusion-weighted magnetic resonance images (DW-MRI) in controlled environments.
Juan Luis Villarreal-Haro +14 more
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Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations
Journal of Imaging, 2023 Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim to identify textural changes in knee lesions based on bone marrow edema (BME), injury (INJ), and osteoarthritis (OST).
Spiros Kostopoulos +8 more
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