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EEG Signal Processing for Biomedical Applications
Electroencephalography (EEG) signals are used widely in clinical and research settings [...]
Yvonne Tran
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Special Issue: "Artificial Intelligence for Biomedical Signal Processing". [PDF]
Artificial intelligence (AI) has rapidly evolved from a conceptual promise into a practical and transformative asset in modern medicine [...]
Vaquerizo-Villar F, Barroso-García V.
europepmc +2 more sources
AI-Based Biomedical Signal Processing
Motivated by the numerous studies working towards innovative processing of biomedical signals, especially exploiting Artificial Intelligence (AI)-based methodologies, this Special Issue was proposed in 2022 [...]
Agnese Sbrollini, Aurora Saibene
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High Contrast Allows the Retina to Compute More Than Just Contrast
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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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
(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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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
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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The Classification of Heartbeats from Two-Channel ECG Signals Using Layered Hidden Markov Model
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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Autoregressive models for biomedical signal processing
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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