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9th International Conference on the Development of biomedical engineering in Vietnam, BME 2022

作者： Dong, Chao-Wei Joo, Dong-Hyun Moon, Ki-Jeong Yoon, Se-Yeon Nguyen, Hua Quang Huy Park, Woo-Tae Department of Mechanical Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Convergence Program of Biomedical Engineering and Biomaterials Seoul National University of Science and Technology Seoul01811 Korea Republic of

ISBN: (纸本)9783031446290

This study presents a smart guidewire developed to measure the pressure inside blood vessels during minimally invasive surgery. The use of pressure sensor guidewires enables the medical doctor to make a judgement of the stent insertion procedure by precisely measuring coronary pressure. A pressure sensor is embedded inside the guidewire to measure the coronary lesion's vascular pressure to determine the clogging's severity. Pressure sensors inside the guidewires require high sensitivity, good linearity, and huge size reduction. The pressure sensor needs to be packaged inside a 350 µm diameter catheter. Size constraints and mechanical reliability requirements are extremely high. We describe the design and manufacture of the micro-scaled pressure sensor and the packaging process of the guidewire. To improve sensor sensitivity and reduce nonlinearity, we employed a finite element analysis to optimize the design for the membrane. The sensor fabrication process employs a cavity-first process for ultrathin sensor design. Additionally, we built a measurement system that records the sensor signal in air pressure. The results showed that the air pressure ranged up to 7.2 psi. We developed a systematic setup for assembling the ultraminiature pressure sensor inside the 800 µm guidewire. The packaging procedure includes the preparation of the electric wires, sensor placement, sensor to wire alignment, soldering, and finally, wired sensor placement inside the medical tubing. © The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.

关键词： Pressure sensors

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Synthesis, characterization, and interfacial adhesion of titania iodine-doped nanotubes architectures on additively manufactured Ti-6Al-4 V implant

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Materialwissenschaft und Werkstofftechnik 2025年第3期56卷 438-454页

作者： Taweekitikul, P. Aliyu, A.A. Decha-Umphai, D. Tantavisut, S. Khamwannah, J. Puncreobutr, C. Lohwongwatana, B. Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Trauma Unit Department of Orthopaedic Queen Savang Vadhana Memorial Hospital Chonburi20110 Thailand Biomedical Engineering Research Center Chulalongkorn University Bangkok10330 Thailand M3D Laboratory Advanced Materials Analysis Research Unit Department of Metallurgical Engineering Faculty of Engineering Chulalongkorn University Phayathai Road Wangmai Pathumwan District Bangkok10330 Thailand Biomechanics Research Center Meticuly Co. Ltd. Chulalongkorn University Bangkok10330 Thailand Hip Fracture Research Unit Department of Orthopaedic Faculty of Medicine Chulalongkorn University Bangkok10330 Thailand Department of Metallurgical Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand CambridgeMA02139 United States

This study aimed to synthesize, characterize, and evaluate the adhesion strength of titania nanotubes (titania nanotubes) and iodine-doped titania nanotubes (I-titania nanotubes) architectures on the additively manufactured Ti-6Al-4 V (Ti64) implant surface. The titania nanotubes and I-titania nanotubes were synthesized through two stages of electrochemical anodization, whereby titania nanotubes are anodically fabricated through a conventional approach and then modified by replacing the ethylene glycol electrolyte with potassium iodide solution. The characterization results revealed the formation of α-Ti, β-Ti, and titanium iodide (TiI2) phases on the titania nanotubes and I-titania nanotubes surfaces. The morphology of titania nanotubes exhibits a consistent diameter, evenly distributed, well-ordered array, and densely packed nanotubular structures. Formation of a water-soluble fluoride-rich [TiF6]2 complexes in the inner titania nanotubes surface and incessant nanotube′s sidewall etching resulted in poor interfacial titania nanotubes adhesion to the titanium-substrate surface. Iodine doping on the titania nanotubes is believed to reduce the [TiF6]2 complexes accumulation and the titania nanotubes sidewall etching. This facilitates the adhesion and interfacial mechanical anchorage between the titania nanotubes and the surface of the Ti64 implant. The hardness and adhesion strength of the titania nanotubes increased by more than 50 %, due to the formation of a hard titanium iodide film at the titania nanotubes/I-titania nanotubes surfaces and interfaces. © 2025 The Author(s). Materialwissenschaft und Werkstofftechnik published by Wiley-VCH GmbH.

关键词： Potassium iodide

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The Impact of Total Quality Management and Perceived Service Quality on Patient Satisfaction in Healthcare: A Systematic Review

The Impact of Total Quality Management and Perceived Service...

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2022 Advances in Science and engineering Technology International Conferences, ASET 2022

作者： Alshrbaji, Mohammad Mohammed, Maryam Shamayleh, Abdulrahim American University of Sharjah Biomedical Engineering Graduate program College of Engineering Sharjah United Arab Emirates University of Sharjah College of Engineering American Industrial Engineering Department Sharjah United Arab Emirates

ISBN: (纸本)9781665418010

The main goal of Total Quality Management (TQM) and Perceived Service Quality (PSQ) in the healthcare sector is to provide high-quality care to patients to meet their needs and expectation. Even in very unique circumstances like the COVID-19 outbreak, there is a need to evaluate how much the prementioned approaches affect patient satisfaction. However, patient satisfaction requires a proper synchronization between what the patient value and what the management perceives. In addition, there should be a focus on what impact the dimensions of TQM and PCQ have on patient satisfaction. As a result, studies have been conducted to identify what the patients value the most related to PSQ and TQM by designing and distributing questionnaires to a sample of patients and analyzing their responses. In this study, a review is conducted of empirical studies from various databases covering the period between 2008 and 2021. The objective is to analyze the influence of TQM and PSQ dimensions on patient satisfaction in healthcare organizations. © 2022 IEEE.

关键词： Health care

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Reconstructing Blood Pressure Waveforms from the Wrist Using Oscillometric Principles in Non-Invasive Monitoring Systems

Reconstructing Blood Pressure Waveforms from the Wrist Using...

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International Conference on Control, Automation and Systems ( ICCAS)

作者： Donggue Kim Jaegeol Cho Department of Biomedical Engineering Graduate School Soonchunhyang University Asan Korea Department of Biomedical Engineering Soonchunhyang University Asan Korea

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

In pulse wave analysis used for non-invasive blood flow measurement, obtaining accurate blood pressure waveforms is crucial. This study proposes a method for reconstructing blood pressure waveforms from wrist cuff pressure waveforms based on the non-invasive oscillometric principle. By converting the pressure waveform obtained by applying constant pressure to the wrist into the cuff volume waveform, i.e., the arterial volume waveform, we estimated the blood pressure waveform using the pressure-volume relationship of the radial artery for each individual. The pressure-volume relationship of the radial artery was derived from the oscillogram. The blood pressure waveforms measured in this study were evaluated by comparison with a commercially available non-invasive continuous blood pressure monitoring device (Finometer Pro, Finapres Medical System). The mean ± standard deviation of RMSE, coefficient of determination, and spectral peak point difference were 10.1 ± 3.2 mmHg, 0.71 ± 0.15, and 0.35 ± 0.82, respectively, indicating significant agreement. Additionally, the error of mean blood pressure (Mean ± SD) was -4.0 ± 7.2 mmHg, confirming the potential to extract continuous blood pressure waveforms using a simple wrist-type blood pressure monitor.

关键词： Wrist Valves Blood pressure Pressure measurement biomedical monitoring Solenoids Monitoring Arteries Standards Blood flow

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Characterization of Ozone-Ethylene Radical Pretreatment for Hybrid Bonding without Water Rinsing Processes

Characterization of Ozone-Ethylene Radical Pretreatment for ...

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IEEE International Conference on 3D System Integration, 3DIC

作者： Bungo Tanaka Tatsunori Shino Mariappan Murugesan Tetsu Tanaka Takafumi Fukushima NICHe Graduate School of Biomedical Engineering Tohoku University Sendai Japan MEIDEN NANOPROCESS INNOVATIONS INC. Chiba Japan NICHe Tohoku University Sendai Japan Graduate School of Biomedical Engineering Graduate School of Engineering Tohoku University Sendai Japan Graduate School of Engineering Graduate School of Biomedical Engineering Tohoku University Sendai Japan

ISBN: (数字)9798331516505

ISBN: (纸本)9798331516512

An Ozone-Ethylene Radical (OER) generation technology can produce a highly active oxidizing agent of OH radicals by mixing an unsaturated hydrocarbon gas with a highly concentrated ozone gas. The OH radicals given by the OER treatment are expected to be used as a prospective surface hydrophilization technique without water rinsing. In this study, we investigate the effectiveness of the surface treatment technology OER on hybrid bonding with thermally grown SiO 2 , CVD-SiCN, and PVD-Cu thin films by water contact angle (WCA), AFM, and XPS. N2 plasma activation is also used before the OER treatment for comparison. OER drastically reduces the WCA of the SiCN thin films compared to the SiO 2 thin film. The AFM analyses found that the surface roughness of the dielectric films is kept after the OER treatment, whereas OER slightly increases the surface roughness of Cu. XPS results suggest that the OER treatment acts on the SiO 2 nitrided by N2 plasma to form Si-OH, and in addition, Cu(oh)2becomes dominant after OER processing. On the other hand, hydrophilic Cu 2 O mainly occupies the Cu surface before the OER treatment. Furthermore, the OER treatment on SiCN enhances oxygen composition, suggesting that OER yields more Si-OH groups by OH radicals. These results indicate that OER is a useful pretreatment method for hybrid bonding.

关键词： Silicon compounds Water Three-dimensional displays System integration Hydrocarbons Surface roughness Rough surfaces Plasmas Bonding Surface treatment

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Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data 4th

Spatio-Temporal Deep Learning for Final Infarct Prediction U...

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4th International Workshop on Imaging and Treatment Challenges, SWITCH 2024, and 6th International Challenge on Ischemic Stroke Lesion Segmentation Challenge, ISLES 2024, Held in Conjunction with Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

作者： Amador, Kimberly Winder, Anthony J. Forkert, Nils D. Biomedical Engineering Graduate Program University of Calgary Calgary Canada Department of Radiology University of Calgary Calgary Canada Hotchkiss Brain Institute University of Calgary Calgary Canada Alberta Children’s Hospital Research Institute University of Calgary Calgary Canada

ISBN: (纸本)9783031811005

Accurate prediction of the tissue outcome is crucial for guiding treatment decisions in acute ischemic stroke (AIS). Spatio-temporal (4D) Computed Tomography Perfusion (CTP) provides detailed insights into cerebral blood flow dynamics, which are essential for predicting final infarct regions. However, its high-dimensional and noisy nature presents challenges for direct prediction. In this study, we evaluate a deep learning model that fully leverages 4D CTP data for predicting tissue outcomes. The model integrates a shared-weight convolutional neural network (CNN) encoder, a Transformer encoder, and a CNN decoder to capture both spatial and temporal dependencies within the data. We evaluated this approach on a multicenter dataset of 143 patients from the ISLES 2024 challenge. The results reveal a Dice score of 0.20, an absolute volume difference of 17 ml, a mean lesion count difference of 19, and a lesion-wise F1-Score of 0.02, underscoring both the potential and challenges of directly utilizing 4D CTP data for final infarct prediction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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MIRANDA: MIMICKING THE LEARNING PROCESSES OF HUMAN DOCTORS TO ACHIEVE CAUSAL INFERENCE FOR MEDICATION RECOMMENDATION

arXiv

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arXiv 2024年

作者： Wang, Ziheng Li, Xinhe Momma, Haruki Nagatomi, Ryoichi Division of Biomedical Engineering for Health and Welfare Graduate School of Biomedical Engineering Tohoku University Sendai Japan Graduate School of Information Sciences Tohoku University Sendai Japan Department of Medicine and Science in Sports and Exercise Graduate School of Medicine Tohoku University Sendai Japan Division of Biomedical Engineering for Health and Welfare Graduate School of Biomedical Engineering Tohoku University Japan

To enhance therapeutic outcomes from a pharmacological perspective, we propose MiranDa, designed for medication recommendation, which is the first actionable model capable of providing the estimated length of stay in hospitals (ELOS) as counterfactual outcomes that guide clinical practice and model training. In detail, MiranDa emulates the educational trajectory of doctors through two gradient-scaling phases shifted by ELOS: an Evidence-based Training Phase that utilizes supervised learning and a Therapeutic Optimization Phase grounds in reinforcement learning within the gradient space, explores optimal medications by perturbations from ELOS. Evaluation of the Medical Information Mart for Intensive Care III dataset and IV dataset, showcased the superior results of our model across five metrics, particularly in reducing the ELOS. Surprisingly, our model provides structural attributes of medication combinations proved in hyperbolic space and advocated "procedure-specific" medication combinations. These findings posit that MiranDa enhanced medication efficacy. Notably, our paradigm can be applied to nearly all medical tasks and those with information to evaluate predicted outcomes. The source code of the MiranDa model is available at https://***/azusakou/MiranDa. Copyright © 2024, The Authors. All rights reserved.

关键词： Self-supervised learning

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Comparison of Advanced Sample Preparation Techniques for High-Resolution Imaging of Sponge Spicule Cross-Sections

Comparison of Advanced Sample Preparation Techniques for Hig...

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Symposium on Natural Fibers and Biocomposites: A Sustainable Solution, 2025, held as part of the TMS Annual Meeting and Exhibition, TMS 2025

作者： Tavangarian, Fariborz Fani, Niloofar Monfared, Armaghan Hashemi Sadeghzade, Sorour Mechanical Engineering Program School of Science Engineering and Technology Pennsylvania State University Harrisburg MiddletownPA17057 United States Department of Biomedical Engineering Pennsylvania State University State College University ParkPA16802 United States School of Engineering Westlake University Hangzhou310024 China

ISBN: (纸本)9783031811890

This study comprehensively investigates the effectiveness of three advanced sample preparation techniques—ion milling, laser cuttingLaser-based techniques, and Focused Ion Beam (FIB) milling—for high-resolution imaging of Euplectella aspergillum sponge fibers called spicules. Primarily composed of silica layers with nanometer-scale organic interlayers, spicules possess complex hierarchical structures which are critical for their mechanical propertiesMechanical property. Accurate characterizationCharacterization of these structures requires advanced sample preparation to prevent artefacts and preserve structural integrity. Ion milling introduced significant surface degradation and uneven material removal in spicules. Despite its precision, laser cutting caused thermal damage and induced micro-cracks, compromising the microstructural integrity. In contrast, FIB milling provided superior results, producing smooth, artefact-free cross-sections with minimal thermal and mechanical stress. The real-time imaging capability of FIB milling further ensured optimal sample preparation, making it the most suitable technique for delicate biological materials like spicules. The findings of this study provide valuable insights into the preparation of biological samples for further research and analysis. © The Minerals, Metals & Materials Society 2025.

关键词： Milling (machining)

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Understanding Acoustic Phenomena in Stenosed Coronary Arteries through Bond Graph Modeling of Sound Generation 46

Understanding Acoustic Phenomena in Stenosed Coronary Arteri...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Sandoval, Loreto Rojas Ulloa, René Araya Da Silva, Ana Karoline Almeida De Almeida Nunes, Gustavo Adolfo Marcelino Faria, Rafael Mendes Sepúlveda, José Parra Da Costa, Lindemberg Barreto Mota Acevedo, Luca Rubilar Rosa, Mário Fabrício Fleury Pino, Esteban J. De Siqueira Rodrigues Fleury Rosa, Suélia Universidad de Concepción Electrical Engineering Department Chile University of Brasilia Mechanical Engineering Department Distrito Federal Brasilia70910-900 Brazil University of Brasilia Postgraduate Program in Biomedical Engineering Distrito Federal Brasilia70910-900 Brazil

ISBN: (纸本)9798350371499

Coronary artery stenosis is characterized by the obstruction or narrowing of coronary arteries, impairing blood flow to the cardiac muscle. Cardiovascular diseases rank among the leading global causes of death. Understanding the mechanisms, risk factors, and impacts of coronary artery stenosis (CAD) is essential for developing effective strategies for prevention, early diagnosis, and treatment, aiming to enhance cardiovascular health and reduce adverse consequences associated with this condition. Previous studies explore the potential of acoustic devices in non-invasive CAD detection through the analysis of cardiac sounds. A theoretical model utilized a cardiac microphone and signal processing to generate sounds in partially obstructed coronary arteries. Emphasizing the model's sensitivity to geometric and dynamic parameters, this article integrates Bond Graph (BG) models into the analog sound circuit, aiming to develop a dynamic representation of biological processes in complex systems like coronary arteries. This research seeks to construct a comprehensive mathematical model using a state-space approach to enhance understanding, diagnostics, and interventions in cardiovascular conditions. The utilization of BG demonstrated notable similarity to the pathology of the disease, providing an accurate representation of its effects. The model's sensitivity to geometric and dynamic parameters allowed an in-depth understanding of the specific physiological characteristics of the disease, highlighting its ability to reproduce patterns observed in patients with CAD. © 2024 IEEE.

关键词： Diagnosis

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Developing a 3D Laparoscopy Training Application to Assess the Efficacy in Virtual Reality Environments 9th

Developing a 3D Laparoscopy Training Application to Assess t...

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9th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2023

作者： Yosunkaya, Ege Şahin, Sebahat Selin Surer, Elif Keleş, Hasan Onur Department of Modeling and Simulation Graduate School of Informatics Middle East Technical University Ankara06800 Turkey Department of Biomedical Engineering Ankara University Ankara06830 Turkey

ISBN: (纸本)9783031525230

This study aims to develop a multimodal understanding of transferring an established method of laparoscopy training to the virtual reality domain. The virtual reality version of the laparoscopic box trainer is developed and tested with 15 participants. Post-experiment questionnaires showed the version of the simulation with tutorial and haptic feedback is acceptable in terms of usability and received better feedback in the technology acceptance model questionnaire. Furthermore, the kinematic behavior of participants’ hands showed a significant distinction between above-average and below-average completion time groups similar to the physical and computer-based non-immersive simulation counterparts. The physiological response of the participants is investigated between rest state and during the task with an Electrocardiogram (ECG) and indicators of increased mental workload are observed with increased heart rate and decreased heart rate variability. The interest in assessing the physiological and kinematic features of trainees in a virtual reality (VR) environment is on the rise and the proposed study is very promising in terms of enhancing the development of improved training and assessment methodologies. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Virtual reality

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