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AI-Based Biomedical Signal Processing
Applied SciencesMotivated 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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Automatization techniques for processing biomedical signals using machine learning methods [PDF]
, 2008 The Signal Processing Group (Department of Signal Theory and Communications, University Carlos III, Madrid, Spain) offers the expertise of its members in the automatic processing of biomedical signals.
Artés Rodríguez, Antonio
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, 2015 Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simultaneous acceleration signals, utilizing the multiple measurement vector ...
Zhang, Zhilin
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
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Sensors, 2022 The detection of immunoglobulin G (IgG) oligoclonal bands (OCB) in cerebrospinal fluid (CSF) by isoelectric focusing (IEF) is a valuable tool for the diagnosis of multiple sclerosis.
Farah Haddad +7 more
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SignalPU: A programming model for DSP applications on parallel and heterogeneous clusters
, 2014 International audience—The biomedical imagery, the numeric communi-cations, the acoustic signal processing and many others digital signal processing applications (DSP) are present more and more everyday in the numeric world.
Houzet, Dominique +2 more
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Peptide mass fingerprinting using field-programmable gate arrays [PDF]
, 2009 The reconfigurable computing paradigm, which exploits the flexibility and versatility of field-programmable gate arrays (FPGAs), has emerged as a powerful solution for speeding up time-critical algorithms.
Beynon, R.J., Bogdan, I.A., Coca, D.
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Biomedical Distributed Signal Processing and Analysis [PDF]
, 2013 The paper deal about the electrophysiology distributed data processing and analysis. The aim of the work was the distance computer environment for biomedical data processing services with effective data visualizing. The system combine end user interactive interaction with biomedical data was realized with the use of rapid calculating by FPGA technology.
Marek Penhaker +2 more
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
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Neural activity temporal pattern dictates long-range propagation targets
NeuroImage, 2021 Brain possesses a complex spatiotemporal architecture for efficient information processing and computing. However, it remains unknown how neural signal propagates to its intended targets brain-wide.
Alex T.L. Leong +4 more
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