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The development of video laryngoscope via additive manufacturing for use in a pre-hospital environment

Research on biomedical engineering 2024年第1期40卷 15-23页

作者： Alves, Marcio Allan Foggiatto, Jose Aguiomar Berti, Lucas Freitas Ulbricht, Leandra Graduate Program in Biomedical Engineering Universidade Federal Tecnológica do Paraná Curitiba Brazil Graduate Program in Mechanical and Materials Engineering Universidade Federal Tecnológica do Paraná Curitiba Brazil

Purpose: Due to failures that occur during intubation, some authors advocate that intubation should always be done with a video laryngoscope. What makes the implementation of this recommendation difficult, especially in developing countries, is the high price of the device. Thus, the objective of this study is to present a low-cost video laryngoscope developed via additive manufacturing, being the first device to have the safety parameters duly tested according to the ISO 7673:2020 standard. Methods: A video laryngoscope with a Macintosh-type rigid blade was developed. After modeling it in the CAD-3D SolidWorks® program, the prototype was printed in PLA (polylactic acid), and load and fatigue tests were carried out with the MTS 810/793 testing machine. Results: The main results were an improvement in ergonomics (with a better fixation of the camera wire and camera positioning). Load and fatigue tests showed compliance with the requirements of the ISO 7673:2020 standard. The first is that when subjected to a traction force of 65 N, the center of illumination must not move more than 10 mm (the average movement was only 3.95 mm). The second is that when subjected to a traction force of 150 N, the laryngoscope blade must not break (348 N of load was applied and the piece resisted without breaking). Conclusion: It was shown that the Macintosh-type PLA video laryngoscope has the potential to become a safe and low-cost tool in the emergency intubation arsenal. © The Author(s), under exclusive licence to The Brazilian Society of biomedical engineering 2023.

关键词： 3D printing

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Features of Computerized Systems for the Management of Medical-Hospital Equipment in Clinical engineering Departments in Brazil 9th

Features of Computerized Systems for the Management of Medic...

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9th Latin American Congress on biomedical engineering, CLAIB 2022 and 28th Brazilian Congress on biomedical engineering, CBEB 2022

作者： Rosa, Perseu Filho Barros, Frieda Saicla Graduate Program in Biomedical Engineering Federal Technological University of Paraná Curitiba Brazil

ISBN: (纸本)9783031494093

The rapid evolution and complexity of medical-hospital equipment (EMH), as well as the appearance of adverse events that had not occurred until then, resulted, in the United States, in the emergence of the area of activity called Clinical engineering (CE). In Brazil, although the profession does not have its proper recognition and regulation, the need for a qualified and designated professional to manage health technologies, within a Health Care Facility (EAS), has been increasingly evident. To manage these technologies, in addition to being mandatory, is the responsibility of each Hospital, requiring dedication and control. The use of computerized systems (SI), aiming at successful management of health technologies, including the preparation of inventories and control of technical intervention events (e.g., maintenance), has been consolidated. Despite having available in the market diversified software intended for the realization of maintenance management, notoriously, the foundation, structuring and functionality of these, are convergent. The present work aimed to list, through bibliographic references, parameters and essential functions, which should make up an SI for the management of EMH, applied in the Departments of CE in Hospital Units. Thus, through the study carried out, it was observed that a software for this purpose can be divided into four main modules: Module of registrations, EMH inventory, service orders (maintenance) and, reports/indicators. Finally, given the functionalities identified in the analyzed SI, it is suggested to conduct new studies related to the incorporation of specific tools and functionalities, aimed at CE in Brazil. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Hospitals

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Three-color single-molecule localization microscopy in chromatin

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光：科学与应用（英文版） 2025年第5期14卷 1265-1277页

作者： Nicolas Acosta Ruyi Gong Yuanzhe Su Jane Frederick Karla I.Medina Wing Shun Li Kiana Mohammadian Luay Almassalha Geng Wang Vadim Backman Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Center for Physical Genomics and Engineering Northwestern UniversityEvanstonIL 60208USA Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Center for Physical Genomics and Engineering Northwestern UniversityEvanstonIL 60208USA IBIS Interdisciplinary Biological Sciences Graduate Program Northwestern UniversityEvanstonIL 60208USA Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Center for Physical Genomics and Engineering Northwestern UniversityEvanstonIL 60208USA Applied Physics Program Northwestern UniversityEvanstonIL 60208USA Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Center for Physical Genomics and Engineering Northwestern UniversityEvanstonIL 60208USA Department of Gastroenterology and Hepatology Northwestern Memorial HospitalChicagoIL 60611USA

Super-resolution microscopy has revolutionized our ability to visualize structures below the diffraction limit of conventional optical microscopy and is particularly useful for investigating complex biological targets like *** exhibits a hierarchical organization with structural compartments and domains at different length scales,from nanometers to *** molecule localization microscopy(SMLM)methods,such as STORM,are essential for studying chromatin at the supra-nucleosome level due to their ability to target epigenetic marks that determine chromatin ***-label imaging of chromatin is necessary to unpack its structural ***,these efforts are challenged by the high-density nuclear environment,which can affect antibody binding affinities,diffusivity and non-specific *** buffer conditions,fluorophore stability,and antibody specificity is crucial for achieving effective antibody ***,we demonstrate a sequential immunolabeling protocol that reliably enables three-color studies within the dense nuclear *** protocol couples multiplexed localization datasets with a robust analysis algorithm,which utilizes localizations from one target as seed points for distance,density and multi-label joint affinity measurements to explore complex organization of all three *** this multiplexed algorithm to analyze distance and joint density reveals that heterochromatin and euchromatin are not-distinct territories,but that localization of transcription and euchromatin couple with the periphery of heterochromatic *** work is a crucial step in molecular imaging of the dense nuclear environment as multi-label capacity enables for investigation of complex multi-component systems like chromatin with enhanced accuracy.

关键词： localization chromatin microscopy single-molecule three-color

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Joint Coordination to Maintain Postural Balance Differs Between Preferred and Non-preferred Lower Limbs 9th

Joint Coordination to Maintain Postural Balance Differs Betw...

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9th Latin American Congress on biomedical engineering, CLAIB 2022 and 28th Brazilian Congress on biomedical engineering, CBEB 2022

作者： Rinaldin, C.D.P. Silva, V.A. Campos, D.P. Manffra, E.F. Pontifical Catholic University of Parana Graduate Program on Health Technology Rua Imaculada Conceição 1155 Curitiba Brazil Federal University of Technology Graduate Program in Biomedical Engineering Curitiba Brazil

ISBN: (纸本)9783031494062

The maintenance of postural balance depends on coordinated actions between the joints on both sides of the body. Although biomechanical modeling studies assume symmetry between the sides of the body in the control of postural balance, it is known that lateral preference makes the lower limbs functionally asymmetric in people without neurological impairment. However, it remains inconclusive whether the coordination between joint and segmental angles to maintain balance differs between the lower limbs according to lateral preference. The study investigated the coordination of joint and segmental angles for preferred (right) and non-preferred (left) lower limb movement for static and dynamic tasks during a single-legged postural task. Eighteen healthy young adults in single-legged upright posture were evaluated. The angular variability was assessed by analyzing the first eight principal components. The cross-correlation analysis between the main components and the angles examined showed that when the support on the ground was on the non-preferred lower limb, there was greater participation of the upper segments compared to the support of the preferred limb. The preferred support of the lower limb on the ground generated angular variability among the participants in the hip, knee, and ankle joints, that is, the most distal part of the body. There is a wide range of strategies for distributing the variability of the principal components between the original angles on the left side. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Degrees of freedom (mechanics)

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Downsizing and soft X-ray tomography for cellular uptake of interpenetrated metal-organic frameworks

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Journal of Materials Chemistry B 2024年第25期12卷 6079-6090页

作者： Yu, Yu-Sheng Liang, Yung-Yi Hsieh, Chia-Chun Lin, Zi-Jing Cheng, Po-Hsiu Cheng, Chih-Chan Chen, Shu-Ping Lai, Lee-Jene Wu, Kevin C.-W. National Taiwan University Department of Chemical Engineering Taipei Taiwan National Health Research Institute Institute of Biomedical Engineering and Nanomedicine Miaoli Taiwan Hsinchu Taiwan International Graduate Program of Molecular Science and Technology Taiwan International Graduate Program Academia Sinica Taipei Taiwan National Taiwan University Taipei Taiwan

Metal-organic frameworks (MOFs) are porous materials with potential in biomedical applications such as sensing, drug delivery, and radiosensitization. However, how to tune the properties of the MOFs for such applications remains challenging. Herein, we synthesized two MOFs, Zr-PEB and Hf-PEB. Zr-PEB can be classified as porous interpenetrated zirconium frameworks (PIZOFs) and Hf-PEB is its analogue. We controlled their sizes while maintaining their crystal structure by employing a coordination modulation strategy. They were designed to serve as sensitizer for X-ray therapy and as potential drug carriers. Comprehensive characterizations of the MOFs' properties have been conducted, and the in vitro biological impacts have been studied. Since viability assay showed that Hf-PEB was more biocompatible compared to Zr-PEB, the cellular uptake of Hf-PEB by cells was evaluated using both fluorescence microscopy and soft X-ray tomography (SXT), and the three-dimensional structure of Hf-PEB in cells was observed. The results revealed the potential of Zr-PEB and Hf-PEB as nanomaterials for biomedical applications and demonstrated that SXT is an effective tool to assist the development of such materials. © 2024 The Royal Society of Chemistry.

关键词： Organometallics

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CHITOSAN-COLLAGEN COMPOSITE SCAFFOLDS FOR GROWTH DIRECTION GUIDANCE OF PC12 AXONS

CHITOSAN-COLLAGEN COMPOSITE SCAFFOLDS FOR GROWTH DIRECTION G...

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ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Tsai, Po-Yu Lin, Ying-Ting Wang, Gou-Jen Graduate Institute of Biomedical Engineering National Chung-Hsing University Taichung Taiwan PhD Program in Tissue Engineering and Regenerative Medicine National Chung-Hsing University Taichung Taiwan Department of Mechanical Engineering Graduate Institute of Biomedical Engineering National Chung-Hsing University Taichung Taiwan

ISBN: (纸本)9780791888421

In this study, nerve conduits of chitosan and collagen composites with biocompatibility and biodegradability were fabricated. The effects of material composition and surface morphology on the axonal growth and directionality of rat epinephric pheochromocytoma PC12 were investigated. The cells were separated by a PDMS structure to simulate nerve injury, and the growth of axons of PC12 cells was observed under the separation of large gaps. At the same time, mitochondria extracted from osteosarcoma cybrid cells (C2-GFP) were added to the culture to investigate the effect of healthy mitochondria on axon differentiation and growth. The experimental results showed that the chitosan-collagen composite film can promote the growth of PC12 axons more effectively than the pure chitosan film. Cell culture results at different groove widths also showed that smaller grooves resulted in more axon numbers and longer axon lengths. Nerve injury simulation experiments showed that the nerve repair could be almost completed after 12 days of culture. Copyright © 2024 by ASME.

关键词： Mitochondria

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A Novel SERS Substrate Containing Silver Nanoparticle-Deposited Photoresist Microcone Array for Sensitive Biosensing

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IEEE Sensors Journal 2024年第2期24卷 1398-1404页

作者： Lin, Ying-Ting Wang, Sheng-Hsiang Tseng, Yu-Hsin Lin, Ze-Cheng Chen, Jyun-Tu Chang, Cheng-Chung Wang, Gou-Jen National Chung Hsing University Program in Tissue Engineering and Regenerative Medicine Taichung40227 Taiwan National Chung Hsing University Department of Mechanical Engineering Taichung40227 Taiwan Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung40227 Taiwan

In this study, we developed a novel surface-enhanced Raman scattering (SERS) substrate formed by depositing silver nanoparticles (AgNPs) on a silver thin film-coated photoresist (PR) microcone array. The semiconductor photolithographic process was adopted for fabricating the PR microcone array. The hotspot enhancement effect of the SERS substrates was optimized by adjusting the concentration of the trisodium citrate, which was used as a reducing agent and a stabilizing agent for the synthesis of AgNPs. Experimental results showed that the proposed SERS substrate could detect the indicating peaks of Rhodamine 6G (R6G) at a relatively low concentration of 10-12 M. A standard detection curve for HbA1c detection with a linear detection range of 5000-20000 ng/mL with good linearity of 0.994 and a limit of detection (LOD) of 850.2 ng/mL was further established by adding HbA1c agent to artificial blood to simulate a real environmental condition. Recovery rate detection experiments confirmed the reproducibility of the established standard detection curve. © 2001-2012 IEEE.

关键词： Silver nanoparticles

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Compact Model Build Upon Dynamic Weighting Artificial Neural Network Approach for Complementary Field Effect Transistors

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IEEE Transactions on Electron Devices 2024年第1期71卷 246-253页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation The Institute of Artificial Intelligence Innovation National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program The Institute of Communications Engineering the Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan

In this work, a dynamic weighting-artificial neural network (DW-ANN) methodology is presented for quick and automated compact model (CM) generation. It takes advantage of both TCAD simulations for high accuracy and SPICE simulations for cost-effectiveness. This methodology is developed for gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field effect transistor (CFET), a potential candidate for future CMOS technology due to its innate properties. The critical process variation (PV) sources that severely degrade the CFET performance are estimated using DW-ANN. It reduces the computation cost and predicts the effects of PV sources with less than 1% error. Furthermore, a compact DW-ANN-based Verilog-A model has been developed that captures the dc as well as transient behavior accurately for circuit-level analysis. CFET-based circuits such as inverter, 6T-static random access memory (SRAM), and ring oscillator (RO) are characterized and implemented using DW-ANN-based CM. The overall average error of the model is reported as less than 2%. Therefore, the proposed device and circuit modeling approach provides a feasible solution for the rapid compact modeling of new emerging devices with good convergence and high accuracy. © 1963-2012 IEEE.

关键词： Neural networks

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BLOCKCHAIN TECHNOLOGY IMPLEMENTATION FOR HEALTHCARE PRIVACY DATA SYSTEMS IN THE UAE 50

BLOCKCHAIN TECHNOLOGY IMPLEMENTATION FOR HEALTHCARE PRIVACY ...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Alshamsi, Hessa Marei, Fatemaal Marwan, Tasnim Shamayleh, Abdulrahim Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Blockchain technology is being recognized as a significant solution to technical issues across various industries, including healthcare. In the healthcare sector, Blockchain has the potential to revolutionize processes such as transferring patient medical records, managing the medicine supply chain, and aiding healthcare researchers in unlocking genetic code. The United Arab Emirates (UAE) has emerged as a developed country actively exploring blockchain technology to enhance its healthcare sector. Despite efforts to improve healthcare in the UAE, integrating new technologies has been limited. The focus has primarily been on improving equipment and procedures rather than adopting innovative solutions. The growing population and increasing emphasis on medical tourism have also amplified the demand for advanced healthcare services. Therefore, immediate action is required to initiate significant developments in the healthcare sector. This research aims to highlight the importance and role of blockchain technology, specifically in the UAE healthcare sector. It seeks to improve the competence and privacy of healthcare data systems while addressing concerns related to centralization. The study presents recent findings concerning the initiatives and vision of the UAE government to establish a globally outstanding healthcare sector. It defines blockchain technology and emphasizes its positive impact on enhancing healthcare data systems. Furthermore, the research showcases various applications of blockchain technology that can be implemented in the healthcare sector. By demonstrating blockchain technology's benefits and potential applications, this research endeavors to encourage the strategic adoption of blockchain solutions in the healthcare sector. Such initiatives can pave the way for advancements in patient data systems and privacy. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Blockchain

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Neural Networks and Explainable Artificial Intelligence for Breast Cancer Prediction and Classification 16

Neural Networks and Explainable Artificial Intelligence for ...

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16th International Conference on ENTERprise Information Systems, CENTERIS 2024 - 12th International Conference on Project MANagement, ProjMAN 2024 - 14th International Conference on Health and Social Care Information Systems and Technologies, HCist 2024

作者： Yahata, Erika Santos, Pablo Deoclecia Dos De Souza Pires, Maria Marlene Suyama, Ricardo Simoes, Priscyla Waleska Graduate Program in Information Engineering Federal University of ABC SP Santo André Brazil Graduate Program in Biomedical Engineering Federal University of ABC São Bernardo Do Campo Brazil Pediatrics Department Federal University of Santa Catarina Santa Catarina Brazil

Solutions based on Artificial Intelligence techniques have been proposed in the healthcare sector, however the lack of understanding of the results has been a cause for concern and one of the main barriers to their effective use. To fill the gap in understanding these models considered black boxes, the Explainable Artificial Intelligence was proposed to explain the relationship between input data and the prediction results made by the Artificial Intelligence models. In this study, we present the use of explainability techniques for a black box machine learning model in breast cancer classification. Breast cancer is the type of cancer that causes the most deaths among women in the world and early diagnosis is essential to increase the chances of survival. The study evaluated the explainability of breast tumor predictions based on the Multilayer Perceptron artificial neural networks algorithm, considering a sample that contained data from 164 female patients undergoing Core Biopsy in the southern region of Brazil. The SHAP, LIME, PDP and ICE methods were used for the global and local explainability of the predictions. The results showed that in the global assessment, the BI-RADS® 5 ultrasound and mammography attributes were considered the most important for predicting the malignant tumor. Nodule size greater than 2 cm, presence of a family history and palpable nodule were also considered important for the prediction. In the local evaluation, it was found that the model correctly classified the tumors considering different characteristics of the patients. Through the results presented, the methods of explicability show evidence that the predictive model for breast cancer can be interpreted and understood, overcoming the barrier of lack understanding of the results of a black box model. © 2025 Elsevier B.V.. All rights reserved.

关键词： Prediction models

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