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EEG Signal Processing for Biomedical Applications
Sensors, 2022 Electroencephalography (EEG) signals are used widely in clinical and research settings [...]
Yvonne Tran
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Advanced Signal Processing Methods for Biomedical Imaging [PDF]
International Journal of Biomedical Imaging, 2013 Signal processing is a long-established engineering field with broad applications in so different arenas such as multimedia (audio, still image, video, graphics, etc.), coding, communications, seismology, astronomy, biomedicine, artificial intelligence, and econometrics, to only name some of them.
Juan Ruiz-Alzola +2 more
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High Contrast Allows the Retina to Compute More Than Just Contrast
Frontiers in Cellular Neuroscience, 2021 The goal of sensory processing is to represent the environment of an animal. All sensory systems share a similar constraint: they need to encode a wide range of stimulus magnitudes within their narrow neuronal response range.
Matthew Yedutenko +3 more
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Nature Communications, 2023 As a key oscillatory activity in the brain, thalamic spindle activities are long believed to support memory consolidation. However, their propagation characteristics and causal actions at systems level remain unclear.
Xunda Wang +6 more
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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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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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