Trends in compressive sensing for EEG signal processing applications
The tremendous progress of big data acquisition and processing in the field of neural
engineering has enabled a better understanding of the patient's brain disorders with their …
engineering has enabled a better understanding of the patient's brain disorders with their …
Location estimates from channel state information via binary programming
Recent years have witnessed a marked increase in the efficacy and speed to solution of
binary program solvers. Leveraging these developments, we propose converting the sparse …
binary program solvers. Leveraging these developments, we propose converting the sparse …
Compressed sensing MRI to characterize sodium alginate deposits during cross-flow filtration in membranes with a helical ridge
N Schork, S Schuhmann, H Nirschl… - Journal of Membrane …, 2021 - Elsevier
Cross-flow membrane ultrafiltration of the polysaccharide sodium alginate in aqueous
solution was investigated in polymeric Helix membranes by in-situ magnetic resonance …
solution was investigated in polymeric Helix membranes by in-situ magnetic resonance …
Recent MRI and diffusion studies of food structures
N Schork, S Schuhmann, O Gruschke, D Gross… - Annual reports on NMR …, 2020 - Elsevier
Discussions about food quality, industrial vs. biological-organic production and their
environmental impact currently lead to socially constitutive questions about nutritional value …
environmental impact currently lead to socially constitutive questions about nutritional value …
Multichannel ECG compression using Block-Sparsity-based joint compressive sensing
Wireless body area networks (WBANs) are increasingly used for remote healthcare
surveillance in recent times, where electrocardiogram (ECG) signals are continuously …
surveillance in recent times, where electrocardiogram (ECG) signals are continuously …
Calibrationless joint compressed sensing reconstruction for rapid parallel MRI
Abstract 3D magnetic resonance imaging (3D MRI) or multi-slice MRI involves significant
data acquisition time. Traditionally, scanning rate of conventional MRI is restricted due to …
data acquisition time. Traditionally, scanning rate of conventional MRI is restricted due to …
Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance …
E Ahishakiye, MB Van Gijzen, J Tumwiine… - BMC medical …, 2020 - Springer
Background Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing
medical imaging modality that is used to visualize the structure of human anatomy …
medical imaging modality that is used to visualize the structure of human anatomy …
Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN
J Li, J Xiao, J Yuan - Sustainability, 2023 - mdpi.com
Due to the limited and difficult access to sensor energy, energy conservation has always
been an important issue in wireless body area network (WBAN). How to make full use of the …
been an important issue in wireless body area network (WBAN). How to make full use of the …
An AtanTV nonconvex regularization model for MRI reconstruction
Z Luo, Z Zhu, B Zhang - Journal of Sensors, 2022 - Wiley Online Library
Recently, the nonconvex regularization model has attracted much research attention in
magnetic resonance imaging (MRI). In comparison with the traditional total variation (TV) …
magnetic resonance imaging (MRI). In comparison with the traditional total variation (TV) …
Diffusion-weighted and spectroscopic MRI super-resolution using sparse representations
Diffusion-weighted magnetic resonance imaging (DW-MRI) and spectroscopic MRI (MRSI)
are powerful diagnostic imaging tools as they provide complementary information over …
are powerful diagnostic imaging tools as they provide complementary information over …