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Quantitative evaluation of adhesion severity around subscapularis and its relationship with shoulder range of motion in frozen shoulder and rotator cuff disorder: an observational study using dynamic ultrasonography

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JSES International 2024年第4期8卷 769-775页

作者： Fujiwara, Mizuki Hermawan, Norma Suenaga, Takuya Hagiwara, Yoshihiro Saijo, Yoshifumi Tohoku University Graduate School of Biomedical Engineering Sendai Japan Department of Rehabilitation Sendai Hospital of East Japan Railway Company Sendai Japan Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Orthopedic Surgery Tohoku University School of Medicine Sendai Japan

Background: This study aimed to evaluate the severity of adhesion between muscles in the shoulder joint using dynamic ultrasonography and to confirm whether adhesions cause range of motion (ROM) restrictions. Methods: Twenty-four shoulders from 15 frozen shoulder patients and 24 shoulders from 18 rotator cuff disorder patients were enrolled. We obtained ultrasound video sequences of the subscapularis (SSC) and deltoid muscles during shoulder external rotation. The mean stretching velocities of the deltoid and SSC were subsequently analyzed using a personal computer. If adhesions occurred between both muscles, the deltoid was stretched more vigorously, and we calculated mean stretching velocity of the deltoid / SSC as adhesion severity. The coracohumeral ligament thickness was measured using the same images. Shoulder ROM was measured by using a universal goniometer. Results: The intraclass correlation coefficients (1.1) and (2.1) of the adhesion severity measurements were 0.85 and 0.91, respectively. Multiple linear regression analysis revealed that the adhesion severity is a significant predictor for external rotation ROM in the rotator cuff disorder group (R² = 0.44, F = 10.1, P < .01, t = −2.9), while coracohumeral ligament thickness predicts ROM in the frozen shoulder group (R² = 0.28, F = 5.5, P = .01, t = −3.0). Conclusion: The proposed method is reliable. Muscle adhesion causes ROM restriction of the shoulder joint. The primary cause of shoulder ROM restriction differed between the diagnostic groups. © 2024 The Author(s)

关键词： Adhesion Basic Science Study Frozen shoulder Imaging and Kinesiology Range of motion Rotator cuff disorder Subscapularis Ultrasonography coracohumeral ligament

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Semilicoisoflavone B induces oral cancer cell apoptosis by targeting claspin and ATR-Chk1 signaling pathways

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Environmental Toxicology 2024年第4期39卷 2417-2428页

作者： Hsieh, Ming-Ju Lin, Chia-Chieh Lo, Yu-Sheng Chuang, Yi-Ching Ho, Hsin-Yu Chen, Mu-Kuan Oral Cancer Research Center Changhua Christian Hospital Changhua Taiwan Doctoral Program in Tissue Engineering and Regenerative Medicine College of Medicine National Chung Hsing University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Department of Otorhinolaryngology Head and Neck Surgery Changhua Christian Hospital Changhua Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan

The prevalence of oral squamous cell carcinoma (OSCC) is increasing worldwide mainly due to poor oral hygiene and unrestricted lifestyle. Advanced-stage OSCC is associated with poor prognosis and a 5-year survival rate of only 30%–50%. The present study was designed to investigate the anticancer effect and mode of action of Glycyrrhiza-derived semilicoisoflavone B (SFB) in 5-fluorourasil (5FU)-resistant human OSCC cell lines. The study findings revealed that SFB significantly reduces OSCC cell viability and colony formation ability by arresting cell cycle at the G2/M and S phases and reducing the expressions of key cell cycle regulators including cyclin A, cyclin B, CDC2, and CDK2. The compound caused a significant induction in the percentage of nuclear condensation and apoptotic cells in OSCC. Regarding pro-apoptotic mode of action, SFB was found to increase Fas-associated death domain and death receptor 5 expressions and reduce decoy receptor 2 expression, indicating involvement of extrinsic pathway. Moreover, SFB was found to increase pro-apoptotic Bim expression and reduce anti-apoptotic Bcl-2 and Bcl-xL expressions, indicating involvement of intrinsic pathway. Moreover, SFB-mediated induction in cleaved caspases 3, 8, and 9 and cleaved poly(ADP-ribose) polymerase confirmed the induction of caspase-mediated apoptotic pathways. Regarding upstream signaling pathway, SFB was found to reduce extracellular signal regulated kinase 1/2 (ERK) phosphorylation to execute its pro-apoptotic activity. The Human Apoptotic Array findings revealed that SFB suppresses claspin expression, which in turn caused reduced phosphorylation of ATR, checkpoint kinase 1 (Chk1), Wee1, and CDC25C, indicating disruption of ATR-Chk1 signaling pathway by SFB. Taken together, these findings indicate that SFB acts as a potent anticancer compound against 5FU-resistant OSCC by modulating mitogen-activated protein kinase (MAPK) and ATR-Chk1 signaling pathways. © 2024 Wiley Periodicals LLC.

关键词： Phosphorylation

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Possible solutions for oxygenation support in critically ill patients with COVID-19

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Research on biomedical engineering 2021年第2期37卷 389-402页

作者： de Souza, Daniel Baldoino de Oliveira Andrade, Adriano Milagre, Selma Terezinha Pereira, Adriano Alves Centre for Innovation and Technology Assessment in Health Postgraduate Program in Electrical and Biomedical Engineering Faculty of Electrical Engineering Federal University of Uberlândia Uberlândia Brazil

Purpose: Due to the large number of patients with respiratory deficiency during the COVID-19 pandemic, several governments and their respective health care services have been studying ways to complement the care provided by offering immediate solutions. In view of this, the aim of this study was to carry out a systematic review of the advantages and disadvantages of possible solutions in oxygenation support. Methods: This systematic review used the PRISMA-P methodology and sought to list alternatives in oxygenation support that are being applied and studied worldwide. A bibliographic search was conducted in the MEDLINE and Cochrane Central databases, using the keywords SARS-CoV-2, COVID19, or coronavirus;combined with extracorporeal membrane oxygenation (ECMO), mechanical ventilation, mechanical ventilation support, low-cost, anesthesia, anesthesia machine, and ventilation therapy. The records were also found in the gray literature. Results: The search found 85 publications of which 41 articles were considered after excluding duplicate articles, reading the title and summary, and reading the articles in full. The oxygenation supports identified in these publications were the following: ECMO, shared mechanical ventilator, fast or low-cost production equipment, high-flow nasal cannula (HFNC), non-invasive ventilation, and use of anesthesia equipment as a mechanical ventilator. Conclusion: This study demonstrated the importance of a trained clinical team in the application of technologies. The alternatives found for support oxygenation require a more robust clinical evaluation to demonstrate their efficacy and safety for the COVID-19 patient. © 2021, Sociedade Brasileira de Engenharia Biomedica.

关键词： Oxygenation

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Characterization of Electroencephalography (EEG) Responses to Musical Stimuli 3

Characterization of Electroencephalography (EEG) Responses t...

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3rd International Congress of biomedical engineering and Bioengineering, CIIBBI 2024

作者： Rojas Tocora, Angelica Maria Muller, Oliver Orjuela-Canon, Alvaro D. Ortiz, Victor A. Universidad Del Rosario - Escuela Colombiana de Ingeniería Biomedical Engineering Program Julio Garavito D.C. Bogota Colombia School of Medicine and Health Sciences Universidad Del Rosario D.C. Bogota Colombia Unversidad Tecnologica de Pereira Engineering Faculty Pereira Colombia

ISBN: (纸本)9798331532352

This study investigates the effects of different musical genres on electroencephalographic (EEG) responses in healthy subjects. The EEG technique was analyzed for five different music styles, such as classical, rock, jazz, vallenato, and urban, and in this way, to determine the influence in brainwave patterns. For instance, classical music was linked to alpha brainwave patterns associated with relaxation, while genres like rock and reggaeton are associated with beta patterns, indicating of concentration and mental activity. The study also explores how intrinsic factors such as musical lyrics and individual differences like musical training and preferences impact brain activity. Findings suggest that music can evoke strong emotional responses and activate different brain regions depending on the genre and individual factors. This complexity underscores the importance of considering personal and cultural aspects in understanding the neural dynamics of musical experiences. © 2024 IEEE.

关键词： Electrophysiology

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Effect of Hydrogel-based Model Fibrosis on Electrical Properties of Bioelectrodes

Effect of Hydrogel-based Model Fibrosis on Electrical Proper...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Wenlu Duan Laura Poole-Warren Dorna Esrafilzadeh Ulises Aregueta Robles Graduate School of Biomedical Engineering UNSW NSW Tyree Foundation Institute of Health Engineering UNSW NSW

Fibrous tissue encapsulation can impact the performance of bioelectrodes following implantation. For example, significant increases in electrode impedance can occur within four weeks post-implantation. A key limitation hindering the understanding of host response-mediated impedance change is the reliance on animal models or complex in vitro cell cultures for electrode testing. This study aimed to develop an in vitro acellular model that can reproduce the changes in electrical properties of bioelectrodes that occur due to host responses following implantation. Specifically, the effect of synthetic, biological, and bio-synthetic co-polymer hydrogel coatings on electrode impedance was measured. Poly(vinyl alcohol) (PVA), gelatin, and PVA-gelatin co-polymers (10 and 20 wt%) were coated onto platinum (Pt) electrodes. Polarisation and access voltage, key components of the voltage response that relate to cell adhesion and protein adsorption respectively, were measured pre and post hydrogel coating and the impedance change was calculated. Results showed that increasing the polymer concentration affects the access resistance regardless of the hydrogel chemistry but only high content gelatin hydrogels increased the polarisation resistance. The increase in total impedance was ~ 2-fold of bare Pt, similar to clinical observations. This study demonstrated that an acellular fibrosis model using hydrogels could reproduce the impedance changes observed in vivo. Such a model system will support research to better understand in vivo changes in electrical properties and the longer term function of neuroprosthetic *** Relevance—This study proposes an acellular fibrosis model for preclinical research. This will support the design of improved clinical stimulation strategies and better understanding of the mechanisms of impedance change at the device-tissue interface.

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Cidade Inteligente: análise da evolução dos indicadores de uma Cidade Universitária da região norte a partir da ISO 37122:2020

Cidade Inteligente: análise da evolução dos indicadores d...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Lucas Henrique Brito Santos Kaylane de Sousa Silva Elen Priscila Lobato Jhennifer Freitas dos Santos Allan R. A. Manito Wellington da Silva Fonseca Marcelo de Oliveira e Silva Faculty of Electrical and Biomedical Engineering Federal University of Pará Belém Brazil Electrical Engineering Graduate Program Federal University of Pará Belém Brazil Mechanical Engineering Graduate Program Federal University of Pará Belém Brazil

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A VAE-Based Data Augmentation Method for Fall Detection System using Wearable Sensor 10

A VAE-Based Data Augmentation Method for Fall Detection Syst...

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10th International Conference on Applied System Innovation, ICASI 2024

作者： Tu, Yu-Chen Wang, Hsuan-Chih Liu, Chien-Pin Hsieh, Chia-Yeh Chan, Chia-Tai National Yang Ming Chiao Tung University Department of Biomedical Engineering Taipei City112 Taiwan Bachelor's Program in Medical Informatics and Innovative Applications Fu Jen Catholic University New Taipei City242062 Taiwan

ISBN: (纸本)9798350394924

Fall incidents among the elderly represent a significant global concern, often resulting in physical injuries and psychological distress. It is crucial to develop reliable fall detection systems which are capable of identifying fall events immediately and triggering alerts for assistance. However, real-world fall occurrences are infrequent, leading to a highly imbalanced class situation. Training a model with imbalanced datasets may result in biased models with poor performance in fall detection. To address this challenge, various techniques such as data transformation and Synthetic Minority Oversampling Technique (SMOTE) have been proposed. However, these methods are constrained by issues such as limitations in input data size or sensitivity to outliers. Compared to other methods, variational autoencoder (VAE) can generate data with a similar probability distribution to the original input data while constraining the latent representation in a Gaussian distribution. This study proposes a VAE-based data augmentation method for wearable-based fall detection system. The proposed method is validated on the FallAllD public dataset, achieving a F-score of 99.46%. The performance has been increased by 2.21%. The results demonstrate the effectiveness of VAE-based data augmentation technique in enhancing fall detection systems and its superior performance compared with other traditional data augmentation methods. © 2024 IEEE.

关键词： Wearable sensors

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Liquid-crystal optical electrodes for neural interfacing

Liquid-crystal optical electrodes for neural interfacing

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CLEO: Science and Innovations, S and I 2022

作者： Ladouceur, François Lovell, Nigel Abed, Amr Al School of Electrical Engineering and Telecommunications University of New South Wales Sydney2052 Australia Graduate School of Biomedical Engineering University of New South Wales Sydney2052 Australia

ISBN: (纸本)9781557528209

Traditional systems for neural interfacing rely on electrons for signal transmission from the biological tissue. We discuss herein an alternative approach using light to both sense and transmit the neural signals. Central to this approach is novel passive, fluorophore-free optical electrode. © Optica Publishing Group 2022, © 2022 The Author(s)

关键词： Electrodes

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PEARL: projection-estimation accelerated Richardson-Lucy deconvolution for rapid volumetric imaging

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Optics Express 2025年第11期33卷 22685-22698页

作者： Wu, Shunan Liu, Wenhao Hua, Xuanwen Luo, Jiajia Wei, Xunbin Jia, Shu Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology Emory University AtlantaGA30332 United States Department of Biomedical Engineering College of Future Technology Peking University Beijing100871 China PKU-GT-Emory Joint Ph.D. Program China

Three-dimensional imaging of biological specimens requires high spatiotemporal resolution, but the intensive computational demands of processing continuously recorded images hinder the real-time reconstruction of millisecond cellular events. Here, we introduce projection-estimation accelerated Richardson-Lucy (PEARL) Deconvolution, an accelerated 3D reconstruction technique that significantly reduces iteration requirements for image reconstruction based on Richardson-Lucy deconvolution. We validate PEARL’s capabilities by imaging immuno-stained mitochondria, GFP-labeled peroxisomes, and human pluripotent stem cell-derived organoids, demonstrating enhanced reconstruction speed and accuracy across diverse biological applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Deconvolution

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Dimensionality reduction in 3D causal deep learning for neuroimage generation: an evaluation study

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Journal of Medical Imaging 2025年第2期12卷

作者： Ohara, Erik Y. Vigneshwaran, Vibujithan Souza, Raissa Vamosi, Finn G. Wilms, Matthias Forkert, Nils D. University of Calgary Biomedical Engineering Graduate Program CalgaryAB Canada University of Calgary Department of Radiology CalgaryAB Canada University of Calgary Hotchkiss Brain Institute CalgaryAB Canada University of Calgary Alberta Children's Hospital Research Institute CalgaryAB Canada University of Calgary Department of Computer Science CalgaryAB Canada University of Calgary Departments of Pediatrics and Community Health Sciences CalgaryAB Canada

Purpose: Causal deep learning (DL) using normalizing flows allows the generation of true counterfactual images, which is relevant for many medical applications such as explainability of decisions, image harmonization, and in-silico studies. However, such models are computationally expensive when applied directly to high-resolution 3D images and, therefore, require image dimensionality reduction (DR) to efficiently process the data. The goal of this work was to compare how different DR methods affect counterfactual neuroimage generation. Approach: Five DR techniques [2D principal component analysis (PCA), 2.5D PCA, 3D PCA, autoencoder, and Vector Quantised-Variational AutoEncoder] were applied to 23,692 3D brain images to create low-dimensional representations for causal DL model training. Convolutional neural networks were used to quantitatively evaluate age and sex changes on the counterfactual neuroimages. Age alterations were measured using the mean absolute error (MAE), whereas sex changes were assessed via classification accuracy. Results: The 2.5D PCA technique achieved the lowest MAE of 4.16 when changing the age variable of an original image. When sex was changed, the autoencoder embedding led to the highest classification accuracy of 97.84% while also significantly impacting the age variable predictions, increasing the MAE to 5.24 years. Overall, 3D PCA provided the best balance, with an age prediction MAE of 4.57 years while maintaining 94.01% sex classification accuracy when altering the age variable and 94.73% sex classification accuracy and the lowest age prediction MAE (3.84 years) when altering the sex variable. Conclusions: 3D PCA appears to be the best-suited DR method for causal neuroimage analysis. © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).

关键词： Principal component analysis

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