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2023 IEEE MIT Undergraduate Research Technology Conference, URTC 2023

作者： Chatragadda, Lohith Fletcher, Aiden Delmonico, Matthew J. Mankodiya, Kunal Solanki, Dhaval University of Rhode Island Interdisciplinary Neuroscience Program KingstonRI United States University of Rhode Island Department of Kinesiology KingstonRI United States University of Rhode Island Department of Electrical Computer and Biomedical Engineering KingstonRI United States

ISBN: (纸本)9798350308600

Neurodegenerative disease is a growing global problem. Many of these diseases such as Parkinson's disease can cause grip strength weakness. In this work, we focused on developing an e-Textile based EMG acquisition system interfaced with an adaptive VR game engine for detecting hand squeeze actions. We prototyped and performed preliminary tests on a grip detection system consisting of: 1) an e-Textile forearm band (E-band), 2) a portable data acquisition module (DAM), and 3) an adaptive 3D VR game engine. Digital health solutions such as our VRGrip system widen the scope of in-home rehabilitation and assessment, and we aimed to make the first step in creating a system for grip strength rehabilitation. To validate our concept, we performed preliminary tests. These tests revealed that the Bluetooth communication protocol between DAM and the game engine was reliable, that the adaptive game engine successfully tailors the game's difficulty level to the user's performance, and that the system was reliable at detecting hand squeezes (F=0.96). © 2023 IEEE.

关键词： Virtual reality

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Mechano-responsive hydrogel for direct stem cell manufacturing to therapy

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Bioactive Materials 2023年第6期24卷 387-400页

作者： Yufeng Shou Ling Liu Qimin Liu Zhicheng Le Khang Leng Lee Hua Li Xianlei Li Dion Zhanyun Koh Yuwen Wang Tong Ming Liu Zheng Yang Chwee Teck Lim Christine Cheung Andy Tay Department of Biomedical Engineering National University of Singapore117583Singapore Institute for Health Innovation&Technology National University of Singapore117599Singapore School of Civil Engineering and Architecture Wuhan University of Technology430070WuhanChina NUS Tissue Engineering Program National University of Singapore117510Singapore Lee Kong Chian School of Medicine Nanyang Technological University636921Singapore School of Mechanical and Aerospace Engineering Nanyang Technological University639798Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnology and Research(A*STAR)138648Singapore Department of Orthopaedic Surgery Yong Loo Lin School of MedicineNational University of Singapore119288Singapore Mechanobiology Institute National University of Singapore117411Singapore

Bone marrow-derived mesenchymal stem cell(MSC)is one of the most actively studied cell types due to its regenerative potential and immunomodulatory *** cell expansion methods using 2D tissue culture plates and 2.5D microcarriers in bioreactors can generate large cell numbers,but they compromise stem cell potency and lack mechanical preconditioning to prepare MSC for physiological loading expected in *** overcome these challenges,in this work,we describe a 3D dynamic hydrogel using magneto-stimulation for direct MSC manufacturing to *** our technology,we found that dynamic mechanical stimulation(DMS)enhanced matrix-integrinβ1 interactions which induced MSCs spreading and *** addition,DMS could modulate MSC biofunctions including directing MSC differentiation into specific lineages and boosting paracrine activities(e.g.,growth factor secretion)through YAP nuclear localization and FAK-ERK *** our magnetic hydrogel,complex procedures from MSC manufacturing to final clinical use,can be integrated into one single platform,and we believe this‘all-in-one’technology could offer a paradigm shift to existing standards in MSC therapy.

关键词： Mesenchymal stem cell Dynamic mechanical stimulation Magnetic hydrogel Stem cell manufacturing Cell therapy

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Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net

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IEEE Access 2024年 12卷 109230-109254页

作者： Khan, Hira Javaid, Nadeem Bashir, Tariq Akbar, Mariam Alrajeh, Nabil Aslam, Sheraz Department of Electrical and Computer Engineering COMSATS University Islamabad Islamabad44000 Pakistan Department of Computer Science COMSATS University Islamabad Islamabad44000 Pakistan International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Yunlin Douliu64002 Taiwan Department of Biomedical Technology College of Applied Medical Sciences King Saud University Riyadh11633 Saudi Arabia Cyprus University of Technology Limassol3036 Cyprus

Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition, being a primary contributor to mortality. Timely and precise diagnosis of heart disease is crucial to safeguard patients from additional harm. Recent studies show that the usage of data driven approaches, such as Deep Learning (DL) and Machine Learning (ML) techniques, in the field of medical science is highly useful in accurately diagnosing heart disease in less time. However, statistical learning and traditional ML approaches require feature engineering to generate robust and effective features from data, which are then used in the prediction models. In the case of large complex data, both processes pose many challenges. Whereas, DL techniques are capable of learning features automatically from the data and are effective at handling large and intricate datasets while outperforming the ML models. This study focuses on the accurate prediction of CVDs, considering the patient’s health and socio-economic conditions while mitigating the challenges presented by imbalanced data. The Adaptive Synthetic Sampling Technique is used for data balancing, while the Point Biserial Correlation Coefficient is used as a feature selection technique. In this study, two DL models, Ensemble based Cardiovascular Disease Detection Network (EnsCVDD-Net) and Blending based Cardiovascular Disease Detection Network (BlCVDD-Net), are proposed for accurate prediction and classification of CVDs. EnsCVDD-Net is made by applying an ensemble technique to LeNet and Gated Recurrent Unit (GRU), and BlCVDD-Net is made by blending LeNet, GRU and Multilayer Perceptron. SHapley Additive exPlanations is used to provide a clear understanding of the influence different factors have on CVD diagnosis. The network’s performance is evaluated on the basis of various performance metrics. The results indicate that the EnsCVDD-Net outperforms all base models with 88% accuracy, 88% F1-score, 91% precision, 85% recall, and 777s execu

关键词： Heart

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Baseline Drifting Correction for Automated MTWA Measurements 50

Baseline Drifting Correction for Automated MTWA Measurements

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50th Computing in Cardiology, CinC 2023

作者： Winkert, T. Benchimol-Barbosal, P.R. Nadal, J. Coppe Institute Universidade Federal Do Rio de Janeiro Biomedical Engineering Program Rio de Janeiro Brazil Universidade Do Estado Do Rio de Janeiro Hospital Universitário Pedro Ernesto Rio de Janeiro Brazil

ISBN: (纸本)9798350382525

To reduce the incidence of sudden cardiac death (SCD), risk stratification markers have a relevant role. Microvolt T-wave alternans (MTWA) is a marker of SCD risk, defined as T-wave amplitude variation in the ECG. Usually, MTWA tests are carried out in noisy environments when interferences are expected. Baseline drifting correction methods may distort ECG signals, compromising MTWA analysis. This work assesses the impact of baseline drifting removal (BLDR) by two approaches. Signals with controlled baseline drifting, respiratory fluctuations and MTWA were analyzed. The classical BLDR approach (CA) estimates baseline signals using ECG fiducial points. The time-space cancellation approach (TSC) uses only T-wave information to assemble a vector with T-wave amplitudes, calculated by the difference between the maximum T-wave value and its endpoint. The squared coherence between the spectrum from each approach and the spectrum of the ECG without baseline drifting was calculated. At the alternation frequency (0.5 cycles-per-beat) a higher coherence occurred with TSC (0.57) as compared to CA (0.19). Results indicate that CA adds a distortion to the ECG, compromising MTWA. Conversely, the TSC approach preserves MTWA oscillations and has the potential to improve MTWA quantification. © 2023 CinC.

关键词： Electrocardiograms

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Flexible organic solar cells for biomedical devices

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Nano Research 2021年第9期14卷 2891-2903页

作者： Bin Kan Faheem Ershad Zhoulyu Rao Cunjiang Yu Department of Mechanical Engineering University of HoustonHoustonTX 77204USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Materials Science and Engineering Program University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Organic solar cells(OSCs),particularly made based on solution processing methods,have made significant progress over the past decades through the concurrent evolution of organic photovoltaic materials and device ***,high power conversion efficiencies around 18%and over 16%have been demonstrated in both rigid and flexible OSCs,*** most of the OSC research has centered on efficiency and cost,their emerging and potential usages in many critical applications,particularly in biomedical fields have been *** this mini-review,we will briefly discuss the high-performance organic photovoltaic materials and the representative flexible OSCs to give a scope on the recent rapid development of ***,we will review some progress on the applications of OSCs in biomedical devices and integrated *** potential challenges associated with integrating OSCs for biomedical devices will be put forward.

关键词： organic solar cells photovoltaic flexible biomedical bioelectronics

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How Different Data Sources Impact Deep Learning Performance in COVID-19 Diagnosis using Chest X-ray Images 14

How Different Data Sources Impact Deep Learning Performance ...

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14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

作者： Zhang, Zhang Zhang, Xiaoyong Ichiji, Kei Bukovsky, Ivo Chou, Shuoyan Homma, Noriyasu Tohoku University Graduate School of Biomedical Engineering Sendai Japan National Institute of Technology Sendai College Department of General Engineering Sendai Japan Tohoku University Graduate School of Medicine Sendai Japan University of South Bohemia in Ceske Budejovice Faculty of Science Department of Computer Science Ceske Budejovice Czech Republic National Taiwan University of Science and Technology Department of Industrial Management Taipei Taiwan

ISBN: (纸本)9798350324228

During the COVID-19 pandemic, many deep learning-based methods has been proposed to diagnose COVID-19 in chest X-ray (CXR) screening. A previous study validated the performance of the deep learning-based methods and suggested the different data sources in training data could lead to unreliable performance. However, it is unclear whether and how the data sources influence the performance. In this study, we utilized a cross-dataset test, where a deep learning model is trained and tested on two different COVID-19 datasets, to investigate how different data sources affect deep learning performance. During the cross-dataset test, one dataset was collected from different data sources and the other was collected from a single data source. We compared the performance of a deep learning model trained by the different datasets and evaluated the image features that contributed to the predictions by using a local interpretable model-agnostic explanations (LIME) method. As a result, the different data sources-trained deep learning model learned improper features outside lung regions and could not classify the CXR images from the same data source. In contrast, the same data source-trained model focused more inside lung regions and performed well on data from different data sources. This study revealed a hidden risk that the features of images representing data sources can lead to unreliable performance. © 2023 IEEE.

关键词： COVID-19

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Double exposure ESPI for non-contact surface topography tracking 37

Double exposure ESPI for non-contact surface topography trac...

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Practical Holography XXXVII: Displays, Materials, and Applications 2023

作者： Wang, Hui Omidi, Parsa Diop, Mamadou Carson, Jeffrey J.L. Imaging Program Lawson Health Research Institute LondonON Canada School of Biomedical Engineering The University of Western Ontario LondonON Canada Department of Medical Biophysics The University of Western Ontario LondonON Canada Department of Surgery The University of Western Ontario LondonON Canada

ISBN: (纸本)9781510659957

In this paper, we introduce an electronic speckle pattern interferometry (ESPI) method for rapid assessment of transient deformations on an opaque object. The method records the change in speckle patterns over time, which relate to the change in phase of the reflected light. The system was capable of high-speed recordings enabled by a camera capable of double exposure and external triggering. Experiments were performed on an opaque PDMS phantom to track rapid surface movements from a piezoelectric acoustic driver located at the back of phantom. Acoustic pulses of different period and amplitude were tested. In each double exposure recording cycle, the image pair were digitally subtracted to reveal the change in the speckle pattern, which represented the change in phase of the object beam relative to the reference. We developed custom software to process the data, including an algorithm to unwrap the phase maps. Experiments revealed an ultimate sensitivity to displacements of approximately 1 nm for signals ranging in period from 50 µs to 200 µs. Future work will examine the capabilities of the system with respect to surfaces with different optical absorption and scattering characteristics. © 2023 SPIE.

关键词： Phantoms

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Semi-Automated Control System for Reaching Movements in EMG Shoulder Disarticulation Prosthesis Based on Mixed Reality Device

IEEE Open Journal of Engineering in Medicine and Biology

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IEEE Open Journal of engineering in Medicine and Biology 2021年 2卷 55-64页

作者： Togo, Shunta Matsumoto, Kazuaki Kimizuka, Susumu Jiang, Yinlai Yokoi, Hiroshi Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Tokyo Japan Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing100081 China

Goal: The development of a control system for an electromyographic shoulder disarticulation (EMG-SD) prosthesis to rapidly achieve a task with a reduction in the operational failure of the user. Methods: The motion planning of an EMG-SD prosthesis was automated using measured visual information through a mixed reality device. The detection of an object to be grasped and motion execution depended on the EMG of the user, which gives voluntary controllability and makes the system semi-automated. Two evaluation experiments with reaching and reach-to-grasp movements were conducted to compare the performance of the conventional system when operated using only visual feedback control of the user. Results: The proposed system can more rapidly and accurately achieve reaching movements (32% faster) and more accurate (69%) reach-to-grasp movements than a conventional system. Conclusions: The proposed control system achieves a high task performance with a reduction in the operational failure of an EMG-SD prosthesis user. © 2020 IEEE.

关键词： Mixed reality

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Design and in silico validation of a human body on a chip for toxicity assessment of drugs to prevent graft-versus-host disease 18

Design and in silico validation of a human body on a chip fo...

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18th IEEE Nanotechnology Materials and Devices Conference, NMDC 2023

作者： Lira Mario, M. Casado Fanny, L. Institute of Omic Sciences and Applied Biotechnology Pontificia Universidad Catolica Del Peru Program of Biomedical Engineering PUCP-UPCH Lima15088 Peru Institute of Omic Sciences Applied Biotechnology Pontificia Universidad Catolica Del Peru Lima15088 Peru

ISBN: (纸本)9798350335460

Toxicity assessment of novel drugs requires the development of models that provide information about the behavior of the cells and the drugs. Current cytotoxicity assays rely on data generated in vitro under static conditions, different from the conditions in the human body, where everything is dynamic and connected. Here we designed a body-on-a-chip and validated its utility to provide in silico information to better design in vitro cytotoxicity assays under dynamic conditions. We focus on cellular and structural features of the integrated main organs affected by systemic toxicity (heart, liver and kidneys), assuming passive mixer conditions for drug-blood interactions using the physicochemical characteristics of a model immuno-modulating drug such as sirolimus or rapamycin. Velocity, pressure and concentration fields were characterized to calculate the values of shear stress, vortex formation and mixing *** Relevance - Chronic diseases are highly prevalent in our society and predicted to become the main burden within the next decade. The most long-term successful treatment for most of them is transplantation of the affected organ. However, the risk of developing graft-versus-host disease is still a limitation for this therapeutic approach despite the availability of drugs to modulate the immune system to tolerate the donor's presence. Therefore, the toxicity assessment of novel immune drugs for organs of interest is a high priority. © 2023 IEEE.

关键词： Shear stress

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SCUBE2 regulates adherens junction dynamics and vascular barrier function during inflammation

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Cardiovascular Research 2024年第13期120卷 1636-1649页

作者： Lin, Yuh-Charn Chang, Ya-Jen Gau, Shiang-Shin Lo, Chun-Min Yang, Ruey-Bing Department of Physiology School of Medicine College of Medicine Taipei Medical University Taipei 110301 Taiwan Institute of Biomedical Sciences Academia Sinica 128 Academia Rd. Sec. 2 Taipei 115201 Taiwan Graduate School of Biostudies Kyoto University Kyoto 6068501 Japan Institute for Integrated Cell-Material Sciences (WPI-iCeMS) Kyoto University Kyoto 6068501 Japan Department of Biomedical Engineering National Yang Ming Chiao Tung University Taipei 112304 Taiwan Biomedical Translation Research Center Academia Sinica 99 Ln. 130 Academia Rd. Sec. 1 Taipei 115201 Taiwan Ph.D. Program in Drug Discovery and Development Industry College of Pharmacy Taipei Medical University 250 Wuxing St. Taipei 110301 Taiwan

Aims: SCUBE2 (signal peptide-CUB-epidermal growth factor-like domain-containing protein 2) is a secreted or membrane-bound protein originally identified from endothelial cells (ECs). Our previous work showed that SCUBE2 forms a complex with E-cadherin and stabilizes epithelial adherens junctions (AJs) to promote epithelial phenotypes. However, it remains unclear whether SCUBE2 also interacts with vascular endothelial (VE)-cadherin and modulates EC barrier function. In this study, we investigated whether and how SCUBE2 in ECs regulates vascular barrier maintenance. Methods and results: We showed that SCUBE2 colocalized and interacted with VE-cadherin and VE-protein tyrosine phosphatase (VE-PTP) within EC AJs. Furthermore, SCUBE2 knockdown disrupted EC AJs and increased EC permeability. Expression of EC SCUBE2 was suppressed at both mRNA and protein levels via the nuclear factor-κB signalling pathway in response to pro-inflammatory cytokines or permeability-inducing agents. In line with these findings, EC-specific deletion of Scube2 (EC-KO) in mice impaired baseline barrier function and worsened vascular leakiness of peripheral capillaries after local injection of histamine or vascular endothelial growth factor. EC-KO mice were also sensitive to pulmonary vascular hyperpermeability and leucocyte infiltration in response to acute endotoxin- or influenza virus-induced systemic inflammation. Meanwhile, EC-specific SCUBE2-overexpressing mice were protected from these effects. Molecular studies suggested that SCUBE2 acts as a scaffold molecule enabling VE-PTP to dephosphorylate VE-cadherin, which prevents VE-cadherin internalization and stabilizes EC AJs. As such, loss of SCUBE2 resulted in hyperphosphorylation of VE-cadherin at tyrosine 685, which led to its endocytosis, thus destabilizing EC AJs and reducing barrier function. All of these effects were exacerbated by inflammatory insults. Conclusion: We found that SCUBE2 contributes to vascular integrity by recruiting VE-

关键词： Adherens junctions SCUBE2 Vascular permeability VE-cadherin VE-PTP

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