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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Singh, Ram Nageena Gnimpieba, Etienne Z. Sani, Rajesh Kumar Chemical and Biological Engineering South Dakota School of Mines and Technology Rapid City United States University of South Dakota Gear Center Biomedical Engineering Program Sioux Falls United States

ISBN: (纸本)9781665468190

Biofilm, is a special-complex organization of bacterial cells with multiple layers, formed in certain environmental conditions. In the complex biofilm different bacterial (single) cells perform different functions and contribute to overall biofilm activity, where single bacterial cells are in different physiological states of growth, stress and signaling. Sulphate reducing bacteria (SRB) contributes to huge economic loss ({}4B) causing microbial induced corrosion. To effectively combat the challenges posed by SRB, it is essential to understand their molecular mechanisms of biofilm formation and biocorrosion. Single Cell Genomics (single cell transcriptomics) is a technique which investigates the gene expression at the level of a single biological cell and could not be attainable in bulk analysis (RNASeq) could decipher the uniqueness of each cell in complex group. We are developing a NGS (oxford Nanopore)-workflow for single cell transcriptomics of biofilms using Oleidesulfovibrio alaskensis (earlier Desulfovibrio alaskensis) strain G20 (OA-G20) as a model. We encountered several challenges to design and develop the workflow such 1) absence of ploy(A) tail in mRNAs, 2) amount of total RNA, 3) half-lives of mRNAs, 4) perforation of cell membrane, 5) low copy number of mRNAs, 6) single cell suspension and cell sorting, 7) quantification of bacterial cells, 8) fixation of cells, 9) designing of probes, 10) hybridization of probes and 11) amplification of mRNAs. Here, we are presenting how we resolved some of these challenges to design and develop a single cell genomics (transcriptomics) workflow for SRB biofilms. © 2022 IEEE.

关键词： Genome

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Colloidal interactions to generate novel coatings

Colloidal interactions to generate novel coatings

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TAPPICon Virtual 2021

作者： Rao, Pradnya Tripp, Carl Bousfield, Doug Department of Chemical and Biomedical Engineering Paper Surface Science Program University of Maine

Latex is a high cost component • Need to use it effectively Prevent or reduce binder migration by attaching latex to the pigment Novel coating structures may be possible that "retain" binder with coating pig... 详细信息

ISBN: (纸本)9781713829683

关键词： Coatings

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Evaluation of Effects of Cyclic Hypoxia on Vascular Permeability Using Microfluidic Device

Evaluation of Effects of Cyclic Hypoxia on Vascular Permeabi...

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IEEE International Conference on Nano/Molecular Medicine and engineering (NANOMED)

作者： Shohei Yanagita Masataka Nikaido Kenichi Funamoto Graduate School of Biomedical Engineering Tohoku University Sendai Japan Institute of Fluid Science Tohoku University Sendai Japan

ISBN: (数字)9798331516994

ISBN: (纸本)9798331517007

Ischemic conditioning reportedly improves tissue tolerance to ischemic injury by affecting vascular function through changes in oxygen concentration. However, the detailed mechanisms and effective procedures have not yet been clarified. In this study, we investigated functional changes in the microvascular network and underlying mechanisms, focusing on the generation of reactive oxygen species (ROS). A microvascular network formed in a microfluidic device was exposed to oxygen concentrations of either 21% or $0.3 \% \mathrm{O}_{2}$, as well as cyclic hypoxic condition ranging between 0.3% and $21 \% \mathrm{O}_{2}$ at $30-\mathrm{min}$ intervals for 3 h. Vascular permeability after cyclic hypoxic condition decreased significantly compared to those under the two constant oxygen conditions. Moreover, ROS generation fluctuated in response to the variation in the oxygen concentration under cyclic hypoxic condition, and remained relatively high. Thus, cyclic hypoxia alters microvascular network function in a manner similar to ischemic conditioning and is associated with sustained ROS generation.

关键词： Microscopy Focusing Fluorescence Hypoxia Distance measurement Permeability Integrated circuit modeling In vitro Microfluidics Injuries

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Evaluation of Detection System for Bioinspired Spherical Underwater Robots Based on the Pressure Sensor Array 20

Evaluation of Detection System for Bioinspired Spherical Und...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Li, Chunying Guo, Shuxiang Kagawa University Graduate School of Engineering Hayashi-cho Takamatsu761-0396 Japan The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology Beijing Institute of Technology Beijing100081 China Southern University of Science and Technology The Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China

ISBN: (纸本)9798350320831

Due to the particularity and complexity of the underwater environment, the perception ability of Autonomous Underwater Vehicles (AUVs) has become a hot issue in recent years. In this paper, the detection system was developed for bioinspired Spherical Underwater Robots (SURs) based on the pressure sensor array. Firstly, the sensor array based on the SUR model was proposed using pressure sensors, adding new dimension to near-flow detection and perception method. Then, the detection system was constructed and the hydrodynamic pressure variables are analyzed. Next, the data acquisition of the pressure sensor array was described. Furthermore, the SUR prototype was assembled carrying the pressure sensor array. Finally, a series of locomotion experiments were performed to verify its performance. The experimental results validated the effectiveness of the proposed detection system, which had a certain reference value for AUV underwater detection and state estimation. © 2023 IEEE.

关键词： Data acquisition

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Design of a Self-Locking Component for McKibben Muscle Back-Stretchablility

Design of a Self-Locking Component for McKibben Muscle Back-...

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Rehabilitation engineering and Assistive Technology (i-CREATe), International Convention on

作者： Shuai Mao Zhongchao Zhou Mauricio Villarroel Liang He the Institute Biomedical Enginnering University of Oxford United Kingdom the Graduate School of Science and Engineering Chiba University Chiba Japan

ISBN: (数字)9798350355154

ISBN: (纸本)9798350355161

McKibben muscles are widely utilised in biorobotics due to their high contraction ratio, remarkable power-to-weight ratio, and resemblance to skeletal muscles. However, the original design, constrained by the braided net, prevents elongation (back-stretchability) when inactive. This limitation means that McKibben muscles lack an essential characteristic of skeleton muscles: the ability to elongate when relaxed. This shortage results in the fact that when the McKibben muscles are used to mimic the antagonist muscle drives, they must be installed loosely (the McKibben muscle will sag while inactivated because the length of the McKibben muscle should be longer than the distance of two fixed points) to ensure the realization of antagonistic muscle movements. However, this compromise inevitably results in the waste of the contraction length of the McKibben muscle, leading to a reduction in the range of motion of the robot joints and the response speed. This paper proposed a Self-locking Component (SLC) enabling back-stretchability of McKibben muscle. When the McKibben muscle is inactivated, the component can contract with different stiffness springs to allow for elongation. Whenever the McKibben muscle with SLC is activated, the SLC will be locked with the McKibben muscle contracting. The elongation-load curve and max tensile force were tested. The results show a strong linear relationship with a max tensile force 50 N. Proposed self-locking component can achieve the self-locking and back-stretchable function.

关键词： Artificial muscles Force Humanoid robots Muscles Drives Skeleton Springs Motion control Elongation Contracts

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A spatial‑frequency patching metasurface enabling super‑capacity perfect vector vortex beams

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eLight 2024年第1期4卷 14-25页

作者： Zhipeng Yu Xinyue Gao Jing Yao Zhiyuan Wang Tianting Zhong Yuzhi Shi Bo Li Puxiang Lai Xiangping Li Qinghua Song Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhenGuangdongChina Department of Biomedical Engineering Hong Kong Polytechnic UniversityHong Kong SARChina Hong Kong Polytechnic University Shenzhen Research Institute ShenzhenGuangdongChina Institute of Precision Optical Engineering School of Physics Science and EngineeringTongji UniversityShanghai 200092China Suzhou Laboratory Suzhou 215000China Photonics Research Institute Hong Kong Polytechnic UniversityHong Kong SARChina Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Institute of Photonics TechnologyJinan UniversityGuangzhou 510632China

Optical vortices,featured with an infinite number of orthogonal channels of orbital angular momentum,have demonstrated marvelous potentials in optical multiplexing and associated ***,conventional vortex beams with global phase modulation approach usually possess a single topological charge(TC)and a uniform radial distance with the donut-shaped intensity,leaving unlimited spatial intensity information ***,to break the spatial capacity limitation,we introduce an entirely new concept of a spatial-frequency patching metasurface by patching the field distribution piece-by-piece in the spatial-frequency domain,thereby breaking the symmetry of the beam morphology and allowing for local manipulation of spatial intensity and TC ***,by superimposing two orthogonal circular polarized perfect VBs,our breakthrough offers a super-capacity with at least 13 channels across a 3D parametric space,including morphology,polarization azimuth and ellipticity angle,namely super-capacity perfect vector vortex beams(SC-PVVBs).Furthermore,we have designed an optimized Dammann grating to facilitate an array of SC-PVVBs,thereby unleashing the full potentials across 13 channels/bits for multi-dimensional complex information *** findings promise dense data transmission in an ultra-secure manner using VBs,opening up new avenues in super-capacity optical information technology in an integrated metasurface platform.

关键词： vortex perfect thereby

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Optical tissue clearing enables rapid,precise and comprehensive assessment of three-dimensional morphology in experimental nerve regeneration research

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Neural Regeneration Research 2022年第6期17卷 1348-1356页

作者： Simeon C.Daeschler Jennifer Zhang Tessa Gordon Gregory H.Borschel SickKids Research Institute Neuroscience and Mental Health ProgramTorontoONCanada Institute of Biomaterials and Biomedical Engineering University of TorontoTorontoONCanada Division of Plastic and Reconstructive Surgery the Hospital for Sick ChildrenTorontoONCanada Indiana University School of Medicine IndianapolisINUSA

Morphological analyses are key outcome assessments for nerve regeneration studies but are historically limited to tissue *** optical tissue clearing techniques enabling three-dimensional imaging of entire organs at a subcellular resolution have revolutionized morphological studies of the *** extend their applicability to experimental nerve repair studies we adapted these techniques to nerves and their motor and sensory targets in *** solvent-based protocols rendered harvested peripheral nerves and their target organs transparent within 24 hours while preserving tissue architecture and *** optical clearing was compatible with conventional laboratory techniques,including retrograde labeling studies,and computational image segmentation,providing fast and precise cell ***,optically cleared organs enabled three-dimensional morphometry at an unprecedented scale including dermatome-wide innervation studies,tracing of intramuscular nerve branches or mapping of neurovascular *** their wide-ranging applicability,rapid processing times,and low costs,tissue clearing techniques are likely to be a key technology for next-generation nerve repair *** procedures were approved by the Hospital for Sick Children’s Laboratory Animal Services Committee(49871/9)on November 9,2019.

关键词： histology image segmentation morphometry nerve regeneration outcome assessment peripheral nerve three-dimensional imaging tissue clearing

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Evaluation of an Intelligent Edge Computing System for the Hospital Intensive Care Unit 3

Evaluation of an Intelligent Edge Computing System for the H...

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3rd IEEE Eurasia Conference on biomedical engineering, Healthcare and Sustainability, ECBIOS 2021

作者： Zida, Serge Ismael Lin, Yue-Der Lee, Cheng Lin Tsai, Yi Lun Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9781728193045

The evolution of medical technology along with information and communication technologies has accelerated the development and operationalization of smart hospitals recently. Traditionally, such hospitals typically rely on cloud computing platforms for data treatment and processing. However, the expansion and popularization of Internet of Medical Things (IoMT) devices and constant data monitoring have resulted in massive amounts of generated data, leading to the overload of the cloud infrastructure. This results in high power consumption and latency in data transmission, which is critical especially in a healthcare environment where data flow must be particularly responsive. Thus, we proposed and designed a Raspberry Pi-based edge computing system to computer-intensive care unit (ICU) data at the periphery of the network to offload the hospital cloud platform. ICU medical data were simulated from the PhysioNet MIMIC III database and transferred to the edge platform for computation and identification of emergency cases that were then sent to the cloud level. We further discuss the current issues and prospects of edge computing in hospitals. © 2021 ECBIOS 2021. All rights reserved.

关键词： Intensive care units

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Quantitative Assessment of Gait in Spinocerebellar Ataxia Using Deep Learning

Quantitative Assessment of Gait in Spinocerebellar Ataxia Us...

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Electronic Communications, Internet of Things and Big Data (ICEIB), International Conference on

作者： Ming-Hui Lai Don-Gey Liu Ching-Hwa Cheng Chung-Yu Lai Master's Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Electronic Engineering Feng Chia University Taichung Taiwan Department of Medical Equipment Development and Application Hungkuang University Taichung Taiwan

ISBN: (数字)9798350360721

ISBN: (纸本)9798350360738

Spinocerebellar ataxia is a neurological disorder characterized by impaired neural coordination, leading to unstable gait, coordination difficulties, and other motor abnormalities. This disease significantly impacts patients' daily lives, making it challenging for them to maintain balance, walk smoothly, and even perform fine motor skills. The causes of spinocerebellar ataxia are diverse, including genetic factors, brain injuries, or certain diseases. Many patients with spinocerebellar ataxia require specialized medical care and ongoing monitoring to manage its effects. This study aims to utilize Human Posture Estimation to detect the gait patterns of patients with spinocerebellar ataxia and integrate it with a deep learning model to distinguish between normal and affected individuals. The outcomes offer physicians an objective diagnostic tool and facilitate early detection and intervention for patients with impaired gait, thereby supporting the enhancement or preservation of their quality of life. The current prediction accuracy for the risk of ataxia gait is 80%, with an F1 score of 78.26%. It is necessary to conduct a detailed quantitative assessment by analyzing the gait of patients with spinocerebellar ataxia. Quantitative evaluation of the data allows for an objective assessment of the patient's gait, which helps healthcare professionals to more accurately understand and assess the gait status of patients with spinocerebellar ataxia.

关键词： Deep learning Neurological diseases Accuracy Medical services Motors Feature extraction Skeleton

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Set-based state estimation of a Li-ion cell using DC programming and constrained zonotopes

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IFAC-PapersOnLine 2023年第2期56卷 7147-7153页

作者： Angelo Tottoli Alesi A. de Paula Guilherme V. Raffo Bruno O.S. Teixeira Davide M. Raimondo Department of Electrical Computer and Biomedical Engineering University of Pavia Italy Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Department of Electronic Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil

Advanced battery management systems (ABMSs) rely on mathematical models to ensure high battery safety and performance. One of the key tasks of a BMS is state estimation. In the following, we consider a single lithium-ion cell described with a dual polarization equivalent circuit model. To consider a realistic scenario, where the parameters have been identified from experimentally collected data, both parametric and measurement uncertainties are taken into account in the model. In particular, unknown but bounded uncertainties are assumed. In this setup, we address state estimation through a set-based approach using Constrained Zonotopes (CZ). Due to the model nonlinearities, a method able to propagate CZ through nonlinear mappings is demanded. Within this context, mean value and first-order Taylor CZ-based extensions were proposed which, however, might lead to conservative overestimation due to the sensitivity to the wrapping and dependency effects inherited from interval arithmetic. In the following, we suggest the use of DC programming as an alternative. The effectiveness of the proposed scheme is demonstrated in simulation for the considered Li-ion model.

关键词： Lithium-ion cells Nonlinear state estimation Uncertainty Set-based approach

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