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arXiv 2022年

作者： Kolahdouz, Ebrahim M. Wells, David R. Rossi, Simone Aycock, Kenneth I. Craven, Brent A. Griffith, Boyce E. Center for Computational Biology Flatiron Institute Simons Foundation New YorkNY United States Department of Mathematics University of North Carolina Chapel HillNC United States Division of Applied Mechanics Office of Science and Engineering Laboratories Center for Devices and Radiological Health United States Food and Drug Administration Silver SpringMD United States Departments of Mathematics and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina Chapel HillNC United States McAllister Heart Institute University of North Carolina Chapel HillNC United States

This paper introduces a sharp-interface approach to simulating fluid-structure interaction (FSI) involving flexible bodies described by general nonlinear material models and across a broad range of mass density ratios. This new flexible-body immersed Lagrangian-Eulerian (ILE) scheme extends our prior work on integrating partitioned and immersed approaches to rigid-body FSI. Our numerical approach incorporates the geometrical and domain solution flexibility of the immersed boundary (IB) method with an accuracy comparable to body-fitted approaches that sharply resolve flows and stresses up to the fluid-structure interface. Unlike many IB methods, our ILE formulation uses distinct momentum equations for the fluid and solid subregions with a Dirichlet-Neumann coupling strategy that connects fluid and solid subproblems through simple interface conditions. As in earlier work, we use approximate Lagrange multiplier forces to treat the kinematic interface conditions along the fluid-structure interface. This penalty approach simplifies the linear solvers needed by our formulation by introducing two representations of the fluid-structure interface, one that moves with the fluid and another that moves with the structure, that are connected by stiff springs. This approach also enables the use of multi-rate time stepping, which allows us to use different time step sizes for the fluid and structure subproblems. Our fluid solver relies on an immersed interface method (IIM) for discrete surfaces to impose stress jump conditions along complex interfaces while enabling the use of fast structured-grid solvers for the incompressible Navier-Stokes equations. The dynamics of the volumetric structural mesh are determined using a standard finite element approach to large-deformation nonlinear elasticity via a nearly incompressible solid mechanics formulation. This formulation also readily accommodates compressible structures with a constant total volume, and it can handle fully compressibl

关键词： Fluid structure interaction

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A Nodal Immersed Finite Element-Finite Difference Method

SSRN

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SSRN 2022年

作者： Wells, David Vadala-Roth, Ben Lee, Jae Ho Griffith, Boyce E. Department of Mathematics University of North Carolina Chapel HillNC United States U.S. Army Corps of Engineers Engineer Research and Development Center Coastal and Hydraulic Laboratory VicksburgMS United States Department of Mechanical Engineering Institute for Computational Medicine Johns Hopkins University BaltimoreMD United States Departments of Mathematics Applied Physical Sciences and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina Chapel HillNC United States McAllister Heart Institute University of North Carolina Chapel HillNC United States

The immersed finite element-finite difference (IFED) method is a computational approach to modeling interactions between a fluid and an immersed structure. The IFED method uses a finite element (FE) method to approximate the stresses and forces on a structural mesh and a finite difference (FD) method to approximate the momentum of the entire fluid-structure system on a Cartesian grid. The fundamental approach used by this method follows the immersed boundary framework for modeling fluid-structure interaction (FSI), in which a force spreading operator prolongs structural forces to a Cartesian grid, and a velocity interpolation operator restricts a velocity field defined on that grid back onto the structural mesh. With an FE structural mechanics framework, force spreading first requires that the force itself be projected onto the finite element space. Similarly, velocity interpolation requires projecting velocity data onto the FE basis functions. Consequently, evaluating either coupling operator requires solving a matrix equation at every time step. Mass lumping, in which the projection matrices are replaced by diagonal approximations, has the potential to accelerate this method considerably. This paper provides both numerical and computational analyses of the effects of this replacement for evaluating the force projection and for the IFED coupling operators. Constructing the coupling operators also requires determining the locations on the structure mesh where the forces and velocities are sampled. Here we show that sampling the forces and velocities at the nodes of the structural mesh is equivalent to using lumped mass matrices in the IFED coupling operators. A key theoretical result of our analysis is that if both of these approaches are used together, the IFED method permits the use of lumped mass matrices derived from nodal quadrature rules for any standard interpolatory element. This is different from standard FE methods, which require specialized treatments to

关键词： Fluid structure interaction

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Rayleigh scattering-based distributed sensing in multicore optical fibers for shape reconstruction in multiplanar disturbance

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Measurement 2025年 256卷

作者： Leandro Macedo Anselmo Frizera Jan Nedoma Radek Martinek Carlos Marques Arnaldo Leal-junior Postgraduate Program in Electrical Engineering of the Federal University of Espírito Santo Av. Fernando Ferrari 514 - Goiabeiras Vitória 29075-910 Espírito Santo Brazil Department of Telecommunications Faculty of Electrical Engineering and Computer Science VSB—Technical University of Ostrava 17. listopadu 15 70833 Ostrava Czech Republic Department of Cybernetics and Biomedical Engineering VSB—Technical University of Ostrava 17. listopadu 15 70833 Ostrava Czech Republic CICECO University of Aveiro Campus Universitário de Santiago 3810-193 Aveiro Portugal

In recent years, advancements in smart cities and multifunctional monitoring have driven new demands for shape reconstruction devices. Multicore fibers (MCFs) are increasingly used due to their parallel data transmission capabilities and multiparameter sensing potential. This paper presents a Rayleigh-scattering-based distributed sensing approach with MCFs for shape reconstruction under multiplanar disturbances. Optical Frequency-Domain Reflectometry (OFDR) is utilized to analyze four cores in a seven-core fiber, enabling shape reconstruction through cross-correlation of spectral responses relative to an unstrained reference. Two configurations are compared: Configuration 1, a spatially separated core arrangement enabling independent strain independent strain measurements to be analyzed with a Frenet-Serret frame modeling and Random Forest (RF) algorithms, achieving a high accuracy with a maximum error of 8.72 × 10 −3 cm; and Configuration 2, a simplified approach analyzing all cores in the same OFDR channel, yielding a higher error of 0.27 cm when a RF algorithm was fed with features derived from the Rayleigh backscattered signal (loss amplitude, strain, spectral shift, and s- and p-polarization) measured by an optical backscatter reflectometer. Three protocols—pure bending, pure torsion, and combined bending/torsion—validate these configurations. The results emphasize this multifunctional MCF-based sensor system’s potential for flexible, integrated shape reconstruction solutions.

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Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing

arXiv

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arXiv 2020年

作者： Chocron, Armand Efraim, Roi Mandel, Franck Rueschman, Michael Palmius, Niclas Penzel, Thomas Elbaz, Meyer Behar, Joachim A. Faculty of Biomedical Engineering Technion Israel Institute of Technology Haifa Israel Faculty of Electrical Engineering Technion Israel Institute of Technology Haifa Israel Cardiology department Rambam Hospital Haifa Israel CHU Rangueil Toulouse France Program in Sleep Medicine Epidemiology Division of Sleep and Circadian Disorders Department of Medicine Brigham and Women’s Hospital BostonMA United States Wolfson College OxfordOX2 6UD United Kingdom Interdisciplinary Center of Sleep Medicine Charité Universitätsmedizin Berlin Germany Saratov State University Saratov Russia Faculty of Biomedical Engineering Technion-IIT Haifa Israel

Study Objectives: Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with a fivefold increase in stroke risk. Many individuals with AF go undetected and thus untreated. These individuals are often asymptomatic or have paroxysmal AF. There are ongoing debates on whether mass screening for AF in the general population is to be recommended. However, there is incentive in performing systematic screening for specific at risk groups such as individuals suspected of sleep-disordered breathing where an important association between AF and obstructive sleep apnea (OSA) has been demonstrated. In this research we introduce a new methodology leveraging digital biomarkers and recent advances in artificial intelligence (AI) for the purpose of mass AF diagnosis from hours of single channel electrocardiogram (ECG) recording. We demonstrate the value of such methodology in a large population sample at risk of sleep disordered ***: Four databases, totaling n=3,088 patients and p=26,913 hours of continuous single channel electrocardiogram raw data were used. Three of the databases (n=125, p=2,513) were used for training a machine learning model in recognizing AF events from beat-to-beat interval time series. The visit 1 of the sleep heart health study database (SHHS1, n=2,963, p=24,400) consists of overnight polysomnographic (PSG) recordings, and was considered as the test set to evaluate the feasibility of identifying prominent AF rhythm from PSG recordings. In SHHS1, expert inspection identified a total of 70 patients with a prominent AF ***: Model prediction on the SHHS1 showed an overall Se = 0.97, Sp = 0.99, NPV = 0.99, PPV = 0.67 in classifying individuals with or without prominent AF. PPV was non-inferior (p=0.03) for individuals with an apnea-hypopnea index (AHI) ≥ 15 versus AHI Conclusions: Individuals with prominent AF can be automatically diagnosed from an overnight single channel ECG recording, with an accuracy unaffected b

关键词： Diseases

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Testing specificity and sensitivity of wastewater-based epidemiology for detecting SARS-CoV-2 in four communities on Vancouver Island, Canada

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Environmental Advances 2022年 9卷 100310页

作者： Masri, Nadia Zeina Card, Kiffer George Caws, Emmanuelle A. Babcock, Alana Powell, Ryan Lowe, Christopher J. Donovan, Shelley Norum, Shelley Lyons, Shirley De Pol, Sean Kostenchuk, Lareina Dorea, Caetano Lachowsky, Nathan J. Willerth, Stephanie M. Fyles, Thomas M. Buckley, Heather L. Division of Medical Sciences University of Victoria Victoria V8W 2Y2 BC Canada Faculty of Health Sciences Simon Fraser University Canada Department of Civil Engineering and Centre for Advanced Materials and Related Technologies (CAMTEC) University of Victoria Canada Environmental Monitoring Program Capital Regional District Canada Regional District of Nanaimo Canada Pani Energy Inc. Canada Department of Civil Engineering Department of Chemistry and Centre for Advanced Materials and Related Technologies (CAMTEC) University of Victoria Canada School of Public Health and Social Policy University of Victoria Canada Department of Mechanical Engineering and Division of Medical Sciences University of Victoria Centre for Advanced Materials and Related Technologies (CAMTEC) University of Victoria Canada School of Biomedical Engineering University of British Columbia Canada

We report wastewater surveillance of the spread of SARS-CoV-2 based upon 24-h composite influent samples taken weekly from four wastewater treatment plants (WWTP) on Vancouver Island, BC, Canada between January 3, 2021 and July 10, 2021. Samples were analyzed by reverse transcription quantitative polymerase chain reaction targeting the N1 and N2 gene fragments of SARS-CoV-2 and a region of the replication associate protein of the pepper mottle mosaic virus (PMMoV) serving as endemic control. Only a small proportion of samples had quantifiable levels of N1 or N2. Overall case rates are weakly correlated with the concentration (gene copies/L) and with the flux of viral material influent to the WWTP (gene copies/day);the latter accounts for influent flow variations. Poisson multimodal rank correlation accounts for differences between the four WWTP and shows a significant correlation with a significant positive intercept. Receiver operator characteristics (ROC) analysis confirms a cut-off of cases based on amplified/not-amplified experimental data. At the optimal cut point of 19 (N1) or 17 (N2) cases/week/100,000 the sensitivity and specificity is about 75% for N1 and 67% for N2. © 2022 The Authors

关键词： Pepper mild mottle virus qPCR SARS-CoV-2 Sensitivity Specificity Wastewater surveillance Wastewater-based epidemiology

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Characterization of complete mitochondrial genome of coonstriped shrimpPandalus hypsinotus(Decapoda: Pandalidae)

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Mitochondrial DNA Part B 2019年第1期4卷 294-295页

作者： Nack-keun Kim Sapto Andriyono Kyung Mi Jung Gwang Ho Choi Tae-Ho Yoon Hyun-Woo Kim Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaDepartment of Marine Fisheries and Marine Faculty Universitas Airlangga C Campus Jl. Mulyorejo Surabaya East Java Indonesia Dokdo Fisheries Research Center National Institute of Fisheries Science Pohang Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaDepartment of Marine Biology Pukyong National University Busan Republic of Korea

The complete mitochondrial genome of the coonstriped,Pandalus hypsinotuswas determined by the MiSeq sequencing platform. The mitogenome ofP. hypsinotus(15,909 bp) encoded the 13 protein-coding genes, 22 tRNA genes, two rRNA genes, non-coding, control region (D-Loop). Phylogenetic analysis based on the full mitochondrial genome sequences showed thatP. hypsinotusis most closely related toP. borealis(86%) clustering together withChlorotocus crassicornisin Pandalidae. The complete mitogenome sequence ofP. hypsinotuswould contribute to the scientific management for conservation of its resources in East/Japan Sea.

关键词： Next-generation sequencing decapoda mitogenome Dokdo Pandalidae

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Design and Implementation of Non-Invasive Malaria Detection System

Design and Implementation of Non-Invasive Malaria Detection ...

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2018 International Conference on Computer, Control, Electrical, and Electronics engineering, ICCCEEE 2018

作者： Osman, Mohammed Salih, Hassan Salih, Osama Abdalaah, Nazar Khider, Mohamed Biomedical Engineering Department Faculty of Engineering Future University Khartoum Sudan Biomedical Engineering Program Gezira College of Technology Khartoum Sudan

ISBN: (纸本)9781538641231

this research focuses on determining the presence of malaria and proves the relationship between the subsystems Red and dispersion angle, absorption, and the presence of hemozoin. All readings were taken from Ibrahim Malik Hospital tested by prototype, with total readings 40. The total of non-malaria was six. The readings are divided into two parts: negative readings were thirty four and positive readings are 6 Readings. The scattering angle depends on the absorption of the malaria parasite. The detection accuracy of our system is determined to be 95%, these are Male results but unfortunately all reading for females is zero. © 2018 IEEE.

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Transcranial direct current stimulation to improve, or not, language deficits in logopenic primary progressive aphasia

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Brain Stimulation 2025年第1期18卷 489-490页

作者： Teichmann, Marc Sanches, Clara Bourbon, Angelina Truong, Dennis Bikson, Marom Valero-Cabré, Antoni Pitié Salpêtrière University Hospital Department of Neurology National Reference Center for ‘Rare and Early Onset Dementias’ AP-HP Paris France France Institut du Cerveau et de la Moelle Epinière ICM-UMR INSERM-CNRS-SU 1127 Frontlab team Paris France France Institut du Cerveau et de la Moelle Epinière UMR INSERM-CNRS-SU 1127 Groupe de Dynamiques Cérébrales Plasticité et Rééducation ICM CNRS UMR 7225 Paris France France Laboratoire de Phonétique et Phonologie UMR7018 CNRS/Univ. Sorbonne Nouvelle Paris France France University of Geneva Faculty of Psychology and Educational Sciences Geneva Switzerland Switzerland Neural Engineering Laboratory Department of Biomedical Engineering The City College of City University of New York New York NY USA USA Laboratory for Cerebral Dynamics Plasticity and Rehabilitation Boston University School of Medicine Boston MA USA USA Cognitive Neuroscience and Information Technology Research Program Open University of Catalonia (UOC) Barcelona Spain Spain

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Complete mitochondrial genome of Spanish flag snapper,Lutjanus carponotatus(Perciformes: Lutjanidae)

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Mitochondrial DNA Part B 2019年第1期4卷 568-569页

作者： Gyungryul Kim Ji-Hyun Lee Md. Jobaidul Alam Soo Rin Lee Sapto Andriyono Fisheries Resource Research Division National Institute of Fisheries Science (NIFS) Busan Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of Korea Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan Republic of KoreaDepartment of Marine Fisheries and Marine Faculty Universitas Airlangga Surabaya East Java Indonesia

The comple mitogenome of Spanish flag snapper,Lutjanus carponotatuswas determined by next generation sequencing (NGS) technique. The mitogenome ofL. carponotatus(16,514bp) habors 37 genes (22 tRNAs, 2 rRNAs, 13 polypeptides) and two non-coding regions, the origin of light strand replication (OL) and the putative control region (D-Loop). Among the 37 genes inL. carponotatusmitogenome, 28 were encoded on the H-strand, whereas only 9 were on the L-strand. Phylogenetic relationship showed that the full mitochondrial genome sequencesL. carponotatuswas most closely related toLutjanus russelliiwith 93% sequence identity clustering withLutjanus fulviflamma(92%) andLutjanus vitta(91%).

关键词： Next generation sequencing Lutjanus carponotatus mitogenome Spanish flag snapper

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Evaluation on Compressive Sensing-based Image Reconstruction Method for Microwave Imaging

Evaluation on Compressive Sensing-based Image Reconstruction...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Basari Syahrul Ramdani Research Center for Biomedical Engineering Universitas Indonesia Kampus UI Depok West Java Indonesia Biomedical Engineering Course Program Faculty of Engineering Universitas Indonesia Indonesia

ISBN: (数字)9781728134031

ISBN: (纸本)9781728134048

Microwave Imaging offers safe, low-cost, and portable method for medical imaging applications. These advantages make the microwave imaging convenient for early detection of tumor or cancer. The transmission method is one of the methods in microwave imaging which provides fast measurement and simple image reconstruction. However, this method requires a great number of measurements to obtain a well-reconstructed image. In order to reduce the number of measurements, this research proposes a Compressive Sensing (CS) approach for image reconstruction on microwave imaging. Compressive Sensing allows reconstruction of a signal with fewer measurements than the conventional approach. In this research, the scanning process is conducted on Computer Simulation Technology (CST) Microwave Studio software. Two dipole antennas with 3 GHz frequency are utilized as microwave transmitter and receiver. A two-layer cube phantom acts as the scanned object. Each layer has different relative permittivity which illustrates the healthy cell and abnormal cell. To meet the framework of Compressive Sensing, a weighted matrix of Discrete Radon Transform (DRT) is created as a projection matrix which delineates the data acquisition scheme in the scanning process. Discrete Cosine Transform (DCT) is selected as sparse dictionary matrix to represent the sparse basis while Basis Pursuit is selected as sparse reconstruction algorithm to reconstruct the sparse signal from measurement data. The measured S 21 data are successfully reconstructed into an image using the Compressive Sensing approach. The reconstructed image is analyzed both qualitatively and quantitatively using image quality parameters such as Structural Similarity Index (SSIM) and Mean Squared Error (MSE).

关键词： Image reconstruction Microwave imaging Microwave photonics Microwave measurement Microwave antennas

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