Special Issue: “Artificial Intelligence for Biomedical Signal Processing” [PDF]
BioengineeringArtificial intelligence (AI) has rapidly evolved from a conceptual promise into a practical and transformative asset in modern medicine [...]
Fernando Vaquerizo-Villar +1 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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A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure [PDF]
, 2020 Hypertension or high blood pressure is a leading cause of death throughout the world and a critical factor for increasing the risk of serious diseases, including cardiovascular diseases such as stroke and heart failure.
El-Hajj, C., Kyriacou, P. A.
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Artifact removal and brain rhythm decomposition for eeg signal using wavelet approach [PDF]
, 2016 This recent study introduces and discusses briefly the use of wavelet approach in removing the artifacts and extraction of features for electroencephalography (EEG) signal.
Sayed Daud, Syarifah Noor Syakiylla +1 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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Pannexin 1 Is Critically Involved in Feedback from Horizontal Cells to Cones
Frontiers in Molecular Neuroscience, 2017 Retinal horizontal cells (HCs) feed back negatively to cone photoreceptors and in that way generate the center/surround organization of bipolar cell receptive fields. The mechanism by which HCs inhibit photoreceptors is a matter of debate.
Valentina Cenedese +6 more
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Special Issue: “Research on Biomedical Signal Processing”
Applied Sciences, 2023 Over recent years, the number of signals of a different type that can be acquired from the human body has increased extraordinarily [...]
Maurizio Varanini +2 more
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A Review of Convolutional Neural Networks for Inverse Problems in Imaging [PDF]
, 2017 In this survey paper, we review recent uses of convolution neural networks (CNNs) to solve inverse problems in imaging. It has recently become feasible to train deep CNNs on large databases of images, and they have shown outstanding performance on object
Jin, Kyong Hwan +2 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
Jonas F. Haderlein +4 more
openaire +4 more sources