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biomedical engineering and Bioengineering (CI-IB&BI), IEEE International Congress of

作者： Andres F. Ruiz-Olaya Emma V. Beltran Edith Pulido Faculty of Mechanical Electronics and Biomedical Engineering Antonio Nariño University Bogota Colombia Bioenginering Program Universidad El Bosque Bogota Colombia

ISBN: (数字)9798331532352

ISBN: (纸本)9798331532369

Steady-State Visually Evoked Potentials (SSVEP) based Brain-Computer Interfaces (BCIs) offer significant potential in assistive and rehabilitation technologies. However, the performance of SSVEP detection is often compromised by artifacts in Electroencephalography (EEG) signals and inter-subject variability, among other factors. This study introduces a subject-specific p reprocessing p ipeline a imed a t enhancing SSVEP signal detection accuracy. The proposed method involves a dual-stage approach, utilizing EEG signals recorded both during a baseline rest state and during tasks known to induce artifacts. By establishing a personalized reference for each subject, the pipeline enables more accurate artifact detection and removal. The pipeline's efficacy w as e valuated u sing Canonical Correlation Analysis (CCA) on an open EEG dataset, with performance assessed across varying time segments (1, 2, 3 y 4 s). Detection accuracy was calculated to quantify performance in SSVEP detection. The performance of the proposed method for the 4-second time segment was superior (96.44%) compared to the standard method (93.78%). The results demonstrate the pipeline's potential to improve the reliability of SSVEP-based BCIs, particularly in highly contaminated signals.

关键词： Electric potential Brain Visualization Accuracy Pipelines Electroencephalography Steady-state Standards Signal detection biomedical engineering

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Cardiac Fibroblast-Mediated ECM Remodeling Regulates Maturation in an in vitro Cardiac Bundle Developmental Model

SSRN

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SSRN 2024年

作者： Jang, Yongjun Kang, Myeongjin Kang, Yong Guk Lee, Dongtak Jung, Hyo Gi Yoon, Dae Sung Kim, Jongseong Park, Yongdoo Department of Biomedical Sciences College of Medicine Korea University Seoul Korea Republic of School of Biomedical Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul Korea Republic of

Cardiac fibroblasts play an important role in heart homeostasis, regeneration, and disease by producing extracellular matrix (ECM) proteins and remodeling enzymes. Under normal conditions, fibroblasts exist in a quiescent state and maintain homeostasis, such as tissue structure and ECM turnover. However, if they become activated upon stimuli, such as injury, aging, or mechanical stress, which can lead to disease through excessive cell proliferation and ECM production. In addition to studying fibroblasts in disease progression, their role in cardiac maturation during development and whether the mechanism of cytokine and ECM production is similar to that observed during disease progression is unclear. In this study, we examined the functional and structural maturation of cardiac tissue by modulating fibroblast activity using an in vitro model of cardiac bundle formation. In this model, human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and human cardiac fibroblasts (CFBs) were co-cultured in a fibrin gel and their morphology, beating characteristics, beating force, and mRNA expression profiles were analyzed. The results indicated that the cardiac bundle model matured structurally and functionally through tissue contraction and collagen deposition by fibroblasts, whereas inhibition of these ECM remodeling reduced maturation. In particular, the expression of second harmonic generation (SHG) and COL1A revealed that while activated fibroblasts induce structural maturation through sustained collagen deposition, excessive collagen accumulation can reduce functional maturation. Our data suggest that collagen type I expression by cardiac fibroblasts is essential for myocardial tissue maintenance and development through ECM remodeling. Furthermore, the regulation of collagen deposition by fibroblast activity is a crucial factor that influences cardiac development and disease progression. © 2024, The Authors. All rights reserved.

关键词： Stem cells

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High-Resolution Hydrogen Molecule Detection Utilizing a Nanocandle-Based Optical Sensor 16

High-Resolution Hydrogen Molecule Detection Utilizing a Nano...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Park, Nu-Ri Kim, Min-Joong Lee, Jongsu Seo, Minah Ryu, Yong-Sang Kim, Myung-Ki KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Korea Institute of Science and Technology Sensor System Research Center Seoul02792 Korea Republic of Northwestern University Department of Electrical Engineering and Computer Science EvanstonIL60208 United States School of Biomedical Engineering Korea University Seoul02481 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02481 Korea Republic of

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen ( ©... 详细信息

ISBN: (纸本)9798350372076

关键词： Nanoclay

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Wireless electromagnetic neural stimulation patch with anisotropic guidance

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npj Flexible Electronics 2023年第1期7卷 209-219页

作者： Bjarke Nørrehvedde Jensen Yuting Wang Alice Le Friec Sadegh Nabavi Mingdong Dong Dror Seliktar Menglin Chen Department of Biological and Chemical Engineering Aarhus UniversityAarhusDenmark School of Mathematics and Physics University of Science and Technology Beijing100083 BeijingChina DANDRITE The Danish Research Institute of Translational NeuroscienceAarhus UniversityAarhusDenmark Center for Proteins in Memory-PROMEMO Danish National Research FoundationAarhus UniversityAarhusDenmark Department of Molecular Biology and Genetics Aarhus UniversityAarhusDenmark Interdisciplinary Nanoscience Center Aarhus UniversityAarhusDenmark Faculty of Biomedical Engineering Technion-Israel Institute of TechnologyHaifa 32000Israel

The human body is limited in healing neurological damage caused by diseases or traumatic *** is a quintessential characteristic of neural tissue and has a crucial role in physiological and neurological therapeutics ***,a wireless electromagnetic neural stimulation patch was created,combining stimulation through electromagnetic induction with physical guidance cues through structural *** melt electrowritten biocompatible,bioresorbable polycaprolactone anisotropic structure with glancing angle deposition of 80 nm gold directly endowed incorporation of a wireless energy harvesting component in the patch,as an electromagnetic stimulation delivery system directly interfacing with neural *** biocompatibility and the capacity of the patch to deliver electromagnetic stimulation and promote neurite outgrowth was confirmed in ***(60 mV,40 kHz,2 h/day,5 days)stimulated PC12 cells showed 73.2%increased neurite outgrowth compared to PC12 cells grown without electromagnetic *** neural stimulation patch shows great potential for wireless electromagnetic stimulation for non-invasive neurological therapeutics advancement.

关键词： patch neural stimulation

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Improved Metaheuristics with Machine Learning Enabled Medical Decision Support System

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Computers, Materials & Continua 2022年第11期73卷 2423-2439页

作者： Sara A.Althubiti JoséEscorcia-Gutierrez Margarita Gamarra Roosvel Soto-Diaz Romany F.Mansour Fayadh Alenezi Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Research Center-CIENS Escuela Naval de Suboficiales A.R.C.“Barranquilla”BarranquillaColombia Electronics and Telecommunications Engineering Program Universidad Autónoma del CaribeBarranquilla080001Colombia Departament of Computational Science and Electronic Universidad de la CostaCUCBarranquilla080001Colombia Biomedical Engineering Program Universidad Simón BolívarBarranquilla080001Colombia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga 72511Egypt Department of Electrical Engineering College of EngineeringJouf UniversitySaudi Arabia

Smart healthcare has become a hot research topic due to the contemporary developments of Internet of Things(IoT),sensor technologies,cloud computing,and ***,the latest advances of Artificial Intelligence(AI)tools find helpful for decision-making in innovative healthcare to diagnose several *** Cancer(OC)is a kind of cancer that affects women’s ovaries,and it is tedious to identify OC at the primary stages with a high mortality *** OC data produced by the Internet of Medical Things(IoMT)devices can be utilized to differentiate *** this aspect,this paper introduces a new quantum black widow optimization with a machine learningenabled decision support system(QBWO-MLDSS)for smart *** primary intention of the QBWO-MLDSS technique is to detect and categorize the OC rapidly and ***,the QBWO-MLDSS model involves a Z-score normalization approach to pre-process the *** addition,the QBWO-MLDSS technique derives a QBWO algorithm as a feature selection to derive optimum feature ***,symbiotic organisms search(SOS)with extreme learning machine(ELM)model is applied as a classifier for the detection and classification of ELM model,thereby improving the overall classification *** design of QBWO and SOS for OC detection and classification in the smart healthcare environment shows the study’s *** experimental result analysis of the QBWO-MLDSS model is conducted using a benchmark dataset,and the comparative results reported the enhanced outcomes of the QBWO-MLDSS model over the recent approaches.

关键词： Ovarian cancer decision support system smart healthcare IoMT deep learning feature selection

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Product Competitor Analysis for First-Year engineering Students

Product Competitor Analysis for First-Year Engineering Stude...

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IEEE International Conference on Teaching, Assessment and Learning for engineering (TALE)

作者： Kuntinee Maneeratana Peerapat Thongnuek Danupol Hoonsopon Suvanchai Pongsugitwat Charasphat Preuksarattanawut Nattaporn Tonanon Sirikanya Phongtongjalearn Department of Mechanical Engineering Chulalongkorn University Bangkok Thailand Interdisciplinary Program of Biomedical Engineering Chulalongkorn University Thailand Marketing Department Chulalongkorn Business School Chulalongkorn University Thailand Department of Metallurgical Engineering Chulalongkorn University Bangkok Thailand Department of Chemical Engineering Chulalongkorn University Bangkok Thailand Faculty of Engineering Chulalongkorn University Bangkok Thailand

This paper presented a learning model for product competitor analysis to first-year engineering students. Students were assigned to watch a video which contained an example before class. In a 45-minutes allotted class time, students were grouped, on-site or online, and assigned to complete an exercise on the product and direct competitor of their choice. The exercise focused on the 4Ps model for marketing implementation – product, price, place, and promotion – of the product and competitor and concluded with the strength, weakness, and unique value proposition of the product. The works were usually rough but acceptable. Students were generally satisfied and 86% found the exercise at least useful in the subsequent design thinking projects. In the future, the ChatGPT could be used to increase the working speed and, thus, reduced the most common complaint of insufficient time while increasing the work quality.

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A self-attention model for robust rigid slice-to-volume registration of functional MRI

arXiv

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arXiv 2024年

作者： Khawaled, Samah Warfield, Simon K. Freiman, Moti The Interdisciplinary program in Applied Mathematics Faculty of Mathematics Technion-Israel Institute of Technology Faculty of Biomedical Engineering Technion-Israel Institute of Technology Computational Radiology Laboratory Boston Children's Hospital BostonMA United States Harvard Medical School BostonMA United States

Functional Magnetic Resonance Imaging (fMRI) is vital in neuroscience, enabling investigations into brain disorders, treatment monitoring, and brain function mapping. However, head motion during fMRI scans, occurring between shots of slice acquisition, can result in distortion, biased analyses, and increased costs due to the need for scan repetitions. Therefore, retrospective slice-level motion correction through slice-to-volume registration (SVR) is crucial. Previous studies have utilized deep learning (DL) based models to address the SVR task;however, they overlooked the uncertainty stemming from the input stack of slices and did not assign weighting or scoring to each slice. In this work, we introduce an end-to-end SVR model for aligning 2D fMRI slices with a 3D reference volume, incorporating a self-attention mechanism to enhance robustness against input data variations and uncertainties. It utilizes independent slice and volume encoders and a self-attention module to assign pixel-wise scores for each slice. We conducted evaluation experiments on 200 images involving synthetic rigid motion generated from 27 subjects belonging to the test set, from the publicly available Healthy Brain Network (HBN) dataset. Our experimental results demonstrate that our model achieves competitive performance in terms of alignment accuracy compared to state-of-the-art deep learning-based methods (Euclidean distance of 0.93 [mm] vs. 1.86 [mm]). Furthermore, our approach exhibits significantly faster registration speed compared to conventional iterative methods (0.096 sec. vs. 1.17 sec.). Our end-to-end SVR model facilitates real-time head motion tracking during fMRI acquisition, ensuring reliability and robustness against uncertainties in inputs. source code, which includes the training and evaluations, will be available soon. Copyright © 2024, The Authors. All rights reserved.

关键词： Iterative methods

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Modifying BiVO4 as a photocatalyst for water oxidation using constant-duration alkaline-etched post treatments

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New Journal of Chemistry 2023年第2期48卷 569-577页

作者： Hsu, Chuan-Chih Chuang, Kai-Jie Huang, Hsiao-Wen Pan, Bo-Jin Chen, Hung-Ming Husain, Sadang Yougbaré, Sibidou Hsiao, Yu-Cheng Wu, Yung-Fu Lin, Lu-Yin Division of Cardiovascular Surgery Department of Surgery School of Medicine College of Medicine Taipei Medical University Taiwan Division of Cardiovascular Surgery Department of Surgery Taipei Medical University Hospital Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Gingen Technology Co. Ltd. Rm. 7 10F. No. 189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia /Nanoro Ouagadougou03 Burkina Faso International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA94305-5428 United States Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan

BiVO4 with suitable band edges and a small band gap is considered an efficient photocatalyst for the oxygen evolution reaction (OER), but short charge-transfer lengths limit its photocatalytic ability. Increasing active sites can essentially enhance oxidation reactions and photocatalytic ability. The alkaline etching technique can refine the surface properties of BiVO4 by introducing oxygen vacancies and possibly establishing a heterojunction, but suitable alkaline etching methods are rarely discussed. In this study, three alkaline etching methods, including hydrothermal, soaking, and electrodeposition processes, are first applied for a constant duration to tailor the surface properties of BiVO4 as a photocatalyst for the OER. Alkaline-etched BiVO4 prepared using hydrothermal and soaking processes shows better photocatalytic abilities due to the generation of additional oxygen vacancies, while poor photocatalytic ability is found for that fabricated using electrodeposition due to the formation of less photocatalytic VO2. The highest photocurrent density of 2.38 mA cm−2 is obtained at 1.23 V versus a reversible hydrogen electrode in an electrolyte without a hole scavenger for the BiVO4 etched in the hydrothermal process, while the untreated BiVO4 presents a photocurrent density of 0.58 mA cm−2. A photocurrent retention of 92.3% is achieved after 5000 seconds of continuous illumination. The study supplies blueprints for establishing effective alkaline etching methods for enhancing the photocatalytic ability of BiVO4, with the exception of time costs. © 2024 The Royal Society of Chemistry.

关键词： Charge transfer

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Physical and Biological Investigation of Injectable Thai Silk Fibroin/Hyaluronic Acid Hydrogel Sustained-Releasing Dexamethasone 15

Physical and Biological Investigation of Injectable Thai Sil...

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15th biomedical engineering International Conference, BMEiCON 2023

作者： Pankoh, Thapakorn Itthipanichpong, Rath Ratanavaraporn, Juthamas Chulalongkorn University Biomedical Engineering Program Faculty of Engineering Bangkok Thailand Chulalongkorn University Faculty of Medicine Department of Ophthalmology Bangkok Thailand Chulalongkorn University Biomed. Eng. Prog. Biomed. Eng. Res. Ctr. Biomaterial Eng. for Med. and Hlth. Res. U. Fac. of Eng. Bangkok Thailand

ISBN: (纸本)9798350345247

Failure of glaucoma surgery occurred due to fibrosis formation. To prevent fibrosis formation, an anti-inflammation agent, such as dexamethasone (DEX), was utilized to inhibit inflammation during the wound healing process, leading to fibrosis reduction. In the present study, DEX is loaded into an ultrasonication-induced silk fibroin/hyaluronic acid (SF/HA) hydrogel as a sustained-release drug delivery system. The SF/HA hydrogel can be fabricated using ultrasonic induction resulting to homogeneous gel within 1 day after incubation at 37°C. For injectability test, the results confirmed that the hydrogel could be easily injected through the 30-gauge needle, particularly for hydrogel containing less concentration and higher HA content. Furthermore, The SF/HA hydrogel showed non-swelling ability, released DEX up to 60% along 30 days of incubation in balanced salt solution, and non-cytotoxic to fibroblasts. However, these properties of the SF/HA hydrogels are independent of their concentrations and SF/HA ratios. As aforementioned, the ultrasonication-induced SF/HA hydrogel could be utilized as an injected carrier of DEX for incorporation with postoperative glaucoma surgery to reduce inflammation and fibrosis formation. © 2023 IEEE.

关键词： Hydrogels

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MICROFLUIDIC CELL SHEARING ENABLES HIGHLY EFFECTIVE MACROMOLECULE INTRACELLULAR DELIVERY 25

MICROFLUIDIC CELL SHEARING ENABLES HIGHLY EFFECTIVE MACROMOL...

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Kwon, Chan Kang, GeoumYoung Chung, Aram School of Biomedical Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul Korea Republic of

ISBN: (纸本)9781733419031

A novel microfluidic cell stretching platform using viscoelastic fluids is presented, enabling highly effective intracellular delivery of external biomolecules into various cell types. The cell suspended in methylcellulose (MC) solution is injected into the platform, where cells rapidly pass through a single constriction with a dimension slightly smaller than the cell diameter. Because of the MC solution, a high shear force is applied to the cells, effectively generating transient cell membrane discontinuities. With this approach, a high delivery efficiency (>97%), high throughput (>106 cells/min) and nearly clogging-free of various macromolecules into different immune cells were demonstrated for cancer immunotherapy applications. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Cells

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