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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Chiu, Chuang-Chien Yeh, Shoou-Jeng Sun, Yen-Chi Feng Chia University Department of Automatic Control Engineering Taichung Taiwan Cheng-Ching General Hospital Section of Neurology and Neurophysiology Taichung Taiwan Feng Chia University Master's Program of Biomedical Informatics and Biomedical Engineering Taichung Taiwan

ISBN: (纸本)9798350360721

Parkinson's disease (PD) is a neurodegenerative disorder often characterized by motor symptoms such as hypomimia, and a reduction in facial expression. We explored the significance of facial features in identifying PD through static images, focusing on detecting hypomimia. A dataset comprised of PD patients and healthy controls' static facial images were collected and analyzed. Facial feature detection was conducted using OpenCV and Dlib libraries for the precise localization of key landmarks. In the subsequent feature extraction, parameters such as symmetry, eye aspect ratio, mouth corner distance, muscle tension, and mouth aperture ratio were used. Through the standardization of these features, meaningful comparisons across diverse images were made. By analyzing hypomimia-related features alongside traditional facial parameters, the results provide a comprehensive understanding of the role of facial expressions in PD diagnosis. The findings suggested that examining facial features in static images enhances the accuracy of PD detection and understanding of the nuanced motor symptoms associated with the disease. © 2024 IEEE.

关键词： Feature extraction

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Overcoming Multidrug Resistance of Breast Cancer Cells by the Micellar Drug Carriers of mPEG-PCL-graft-cellulose

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13th International Conference on biomedical engineering, ICBME 2008

作者： Chen, Yung-Tsung Chen, Chao-Hsuan Hsieh, Ming-Fa Chan, Ann Shireen Liau, Ian Tai, Wan-Yu Department of Biomedical Engineering and Master Program in Nanotechnology Chung Yuan Christian University Chungli Taiwan Institute of molecular science National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9783540928409

The amphiphilic block copolymers methoxypoly (ethylene glycol)-poly (å-caprolactone) (mPEG-PCL) was grafted to 2-hydroxyethyl cellulose (HEC) to produce watersoluble copolymers. Doxorubicin (DOX)-loaded nanoparticles were prepared by dialysis method and the sizes of nanoparticles were determined by dynamic light scattering (DLS) in solution. The size of the nanoparticles was in the range of 197.4 to 340.7 nm. Rhodamine 123 was used to probe the relative Pglycoprotein (P-gp) expression in human breast cancer cell lines MCF-7/WT and MCF-7/ADR. Confocal laser scanning microscopy (CLSM) showed a difference between the fluorescence images of DOX-loaded micelles and free DOX. For a quantitative basis, flow cytometry was done on both cell lines treated with DOX-loaded micelles and free DOX to compare a difference in effect. The amount of DOX-loaded micelles in MCF-7/ADR increased compared to that in the MCF-7/WT cells. This gives insight into how the micellar system developed in this study overcomes the multidrug resistance (MDR) effect.

关键词： Micelles

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Usability evaluation of high-fidelity simulation manikin for cardiopulmonary resuscitation training for medical students

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Research on biomedical engineering 2024年第1期40卷 253-264页

作者： Silva, Lucas de Brito Gonçalves, Fabrícia Torres Arantes, Henrique Pierotti Garcia, Rodrigo Alves Gasparin, Maria Regina Franco Ribeiro dos Reis, Melissa Mariane Andrade, Adriano de Oliveira Pereira, Adriano Alves Milagre, Selma Terezinha Santos, Fernando Pasquini Faculty of Electrical Engineering Graduate Program in Biomedical Engineering Federal University of Uberlândia Campus Santa Mônica Bloco 1E MG Uberlândia38400-902 Brazil Instituto Master de Ensino Presidente Antônio Carlos MG Araguari Brazil

Purpose: With the increasing incidence of cardiac arrests in non-critical areas, it is crucial to provide comprehensive training to healthcare professionals. Simulation-based training using manikins offers a morally sound alternative to traditional methods and allows students to apply clinical skills in realistic scenarios. Usability evaluation, including assessment of efficiency, effectiveness, and user satisfaction, is essential for ensuring the effectiveness of the training. This research focuses on evaluating the usability of the simulation manikin for teaching cardiopulmonary resuscitation to medical students. Methods: Twenty-one volunteers participated in the experiments: 18 students and three teaching doctors (one instructor professor and two evaluator professors). The instructor professor was instructed to follow the same procedure used in the classroom setting. The evaluating professors were provided with appropriately labeled data collection instruments to evaluate the usability of manikins. The student performed the tasks as instructed, and after completion, they were directed to the debriefing room, where they filled out the feedback form. Results: The experimental data and the statistical analyses showed that regarding effectiveness, the study findings indicated that participants encountered difficulties in certain tasks, as evidenced by the need for significant intervention from the instructor professor. In relation to efficiency, the results demonstrated a clear correlation between the successful execution of tasks and the duration of instruction provided by the instructor, thereby indicating the presence of a usability problem associated with the simulation manikin. And users are not entirely satisfied with the manikin, considering the room for improvement indicated by the SUS score. Conclusion: The experiment and the results reported in this paper contribute to addressing the existing gap in the literature concerning the usability of high-fidelity s

关键词： Efficiency

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Health Technopole: Innovation applied to clinical engineering & Health Technology Management education

Health Technopole: Innovation applied to clinical engineerin...

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

作者： L. Vilcahuamán R. Rivas Biomedical Engineering Master Program Health Technopole CENGETS Pontifical Catholic University of Peru Peru Biomedical Engineering Master Program Pontifical Catholic University of Peru PUCP

In the Peruvian Health System, Clinical engineering does not exist as a topic of intervention. 59% of biomedical equipment is officially classified as operational, however next to apply the correct classification methodology and include security issues, only 10% of the equipment are suitable for use in patients. The serious consequences for patients, is opposite to the increased public investment in the health sector. Reversing this context leads to structural changes at all levels of the organization and they will be achievable only through an appropriate educational program. A strategy focused on joint of capacities called Health Technopole has managed to implement an innovative Model of Education in Healthcare Technology Management HTM and Clinical engineering CE aimed at solving this problem. The proposal focused on strategies to strengthen the educational goals such as creating HTM & CE Units in hospitals, the implementation of the methodology: Problem Based Learning and Project Management in HTM & CE in classroom and on line courses. The process includes an effective interaction with global organizations through teleconferences, Internships, Workshops and Seminars. A key component was the sustained multidisciplinary approach. Health Technopole CENGETS is an expert adviser for the Ministry of Health and is called for trainings, design training programs for regional governments and also supports global organizations such as PAHO / WHO and ORAS / CONHU. The proposal of innovation applied to HTM & CE Education is effective and is a benchmark for similar countries.

关键词： Clinical diagnosis Hospitals Technology management Education Organizations USA Councils

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Fabrication of versatile poly(xylitol sebacate)-co-poly(ethylene glycol) hydrogels through multifunctional crosslinkers and dynamic bonds for wound healing

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Acta Biomaterialia 2023年 170卷 344-359页

作者： Yeh, Ying-Yu Lin, Yi-Yun Wang, Ting-Teng Yeh, Yu-Jia Chiu, Ting-Hsiang Wang, Reuben Bai, Meng-Yi Yeh, Yi-Cheun Institute of Polymer Science and Engineering National Taiwan University Taipei Taiwan Institute of Biomedical Engineering National Taiwan University Taipei Taiwan Biomedical Engineering Program Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Institute of Food Safety and Health National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan Adjunct Appointment to the Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Program National Taiwan University Taipei Taiwan GIP-TRIAD Master's Degree in Agro-Biomedical Science National Taiwan University Taipei Taiwan

Poly(polyol sebacate) (PPS) polymer family has been recognized as promising biomaterials for biomedical applications with their characteristics of easy production, elasticity, biodegradation, and cytocompatibility. Poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-PEG) has been developed to fabricate PPS-based hydrogels;however, current PXS-co-PEG hydrogels presented limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. Here, we fabricate a new type of PXS-co-PEG hydrogels through the use of multifunctional crosslinkers as well as dynamic bonds. In our design, polyethyleneimine-polydopamine (PEI-PDA) macromers are utilized to crosslink aldehyde-functionalized PXS-co-PEG (APP) through imine bonds and hydrogen bonds. PEI-PDA/APP hydrogels present multiple functional properties (e.g., fluorescent, elastomeric, biodegradable, self-healing, bioadhesive, antioxidant, and antibacterial behaviors). These properties of PEI-PDA/APP hydrogels can be fine-tuned by changing the PDA grafting degrees in the PEI-PDA crosslinkers. Most importantly, PEI-PDA/APP hydrogels are considered promising wound dressings to promote tissue remodeling and prevent bacterial infection in vivo. Taken together, PEI-PDA/APP hydrogels have been demonstrated as versatile biomaterials to provide multiple tailorable properties and desirable functions to expand the utility of PPS-based hydrogels for advanced biomedical applications. Statement of significance: Various strategies have been developed to fabricate poly(polyol sebacate) (PPS)-based hydrogels. However, current PPS-based hydrogels present limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. This work describes that co-engineering crosslinkers and interfacial crosslinking is a promising approach to synthesizing a new type of poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-

关键词： Polyols

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Histopathology Grading Identification of Breast Cancer Based on Texture Classification Using GLCM and Neural Network Method 8

Histopathology Grading Identification of Breast Cancer Based...

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8th International Conference on Theoretical and Applied Physics, ICTAP 2018

作者： Rulaningtyas, Riries Hyperastuty, Agoes Santika Rahaju, Anny Setijo Biomedical Engineering Study Program Department of Physics Airlangga University Jl. Mulyorejo Surabaya60115 Indonesia Biomedical Engineering Master Program Airlangga University Jl. Mulyorejo Surabaya60115 Indonesia Department of Pathology Anatomy Medical Faculty Airlangga University Jl. Mulyorejo Surabaya60115 Indonesia

Breast cancer is the leading type of malignant tumor which is observed in women. The effective treatment depends on its early diagnosis. The gold standard of breast cancer is histopathologic examination of cancer cells. The determination of the grading in breast cancer is determined by three factors: pleomorphic, tubular formation and cell mitosis. This paper uses pleumorfic and tubular formation pattern from breast cell histopathology images. The proposed system consists of four major steps : preprocessing, segmentation, feature extraction and classification. We use k - means clustering method for image segmentation and use Gray level Cooccurence Matrix (GLCM) for feature extraction with four features (i.e. angular second moment, contrast feature, entropy feature, and variance feature). The final step is grading classification which uses Backpropagation Neural Network. Some of important parameters will be variated in this process such as learning rate and the number of node in hidden layer. The research gives good result for the identification of breast cancer grading with 88% accuracy, 85% sensitivity, and 80% specificity. © Published under licence by IOP Publishing Ltd.

关键词： Backpropagation

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An efficient ICA approach based on neural network framework for biomedical applications

An efficient ICA approach based on neural network framework ...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Lin, Yue-Der Hsu, Chih-Yu Chen, Hung-Yun Tseng, Kuo-Kun Department of Automatic Control Engineering Master Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Wufeng Taichung County Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Computer Science and Engineering HungKuang University Taichung Taiwan

ISBN: (纸本)9781424469178

The paper developed a block-wise approach for ICA algorithms which can improve the computational efficiency of ICA without the degradation of performance for the separation of biomedical signals. Source signals including electrocardiogram (ECG), electromyogram (EMG) and 60-Hz sinusoid are linearly mixed for experimental tests. The mean-square errors (MSE) between the original sources and the separated signals are calculated for the evaluation of separation performance. These results demonstrated that the proposed block-wise approach can achieve the desired separation performance of signals in a more efficient way. © 2010 IEEE.

关键词： Independent component analysis

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Enhanced SERS Detection Using TiO₂ Photonic Crystals with In-Situ-Grown Au/Ag Nanoparticles

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ACS Applied Nano Materials 2025年

作者： Wang, Zeyu Wu, Jake Li, Xiangming Chen, Xiaoliang He, Chunjie Shao, Jinyou Louh, Rong-Fuh Frontier Institute of Science and Technology and Micro- and Nanotechnology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Shaanxi Xi’an 710049 China Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung 407 Taiwan Micro-and Nanotechnology Research Center State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Shaanxi Xi’an 710049 China Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education International Center for Dielectric Research Shannxi Engineering Research Center of Advanced Energy Materials and Devices Xi’an Jiaotong University Shaanxi Xi’an 710049 China

Surface-enhanced Raman spectroscopy (SERS) has been widely utilized for the detection of disease biomarkers, pesticides, and environmental pollutants due to its exceptional sensitivity, real-time responsiveness, and unique interactions between adsorbates and substrates. Here, we present a composite metal/semiconductor material comprising TiO₂ nanosphere substrates integrated with in-situ-grown Au or Ag nanoparticles (NMNPs@TiO₂). These composite nanospheres are assembled by an electrophoretic self-assembly process to form a photonic crystal structure with three-dimensionally ordered periodic geometric features and show remarkable sensitivity and stability for SERS detection, achieving a detection limit as low as 10^-9 M for Rhodamine 6G. Beyond merely enhancing SERS signals by generating uniformly distributed metal plasmonic “hot spots” on TiO₂ substrates, similar to traditional semiconductor substrates, this photonic crystal substrate also exhibits advanced light absorption and localization capabilities. The absorbed light drives the defect excitation of TiO₂, facilitated by its multicrystalline structure. Excited electrons from the TiO₂ nanospheres contribute to the enhancement of localized surface plasmon resonance through charge transfer to noble-metal nanoparticles. Additionally, the synthesis of NMNPs@TiO₂ nanospheres avoids the use of toxic reagents, and substrate assembly is achieved through a simple electrodeposition process. This approach simplifies fabrication while enabling the production of SERS detectors with exceptional spatial and temporal signal stability. With increasing demands for higher detection sensitivity, signal uniformity, and detector durability for SERS detection applications, the NMNPs@TiO₂ nanosphere-based photonic crystal substrate underscores its potential to significantly improve the SERS detection efficiency, making it ideal for ultrasensitive che

关键词： electric deposition photonic crystal semiconductor SERS synthesis

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A novel label-free electrochemical immunosensor for the detection of heat shock protein 70 of lung adenocarcinoma cell line following paclitaxel treatment using l-cysteine-functionalized Au@MnO2/MoO3 nanocomposites

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RSC Advances 2023年第43期13卷 29847-29861页

作者： Chen, Yi-An Shie, Ming-You Ho, Chia-Che Ye, Sheng-Wen Chen, I.-Wen Peter Shih, Yu-Yin Shen, Yu-Fang Chen, Yi-Wen x-Dimension Center for Medical Research and Translation China Medical University Hospital Taichung City404332 Taiwan The Master Program for Biomedical Engineering China Medical University Taichung City406040 Taiwan Department of Biomedical Engineering China Medical University Taichung City40447 Taiwan Department of Bioinformatics and Medical Engineering Asia University Taichung City41354 Taiwan Department of Chemistry National Cheng Kung University Tainan70101 Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung City40447 Taiwan

The future trend in achieving precision medicine involves the development of non-invasive cancer biomarker sensors that offer high accuracy, low cost, and time-saving benefits for risk clarification, early detection, disease detection, and therapeutic monitoring. A facile approach for the synthesis of MoO3 nanosheets was developed by thermally oxidizing MoS2 nanosheets in air followed by thermal annealing. Subsequently, Au@MnO2 nanocomposites were prepared using a combined hydrothermal process and in situ chemical synthesis. In this study, we present a novel immunosensor design strategy involving the immobilization of antiHSP70 antibodies on Au@MnO2/MoO3 nanocomposites modified on a screen-printed electrode (SPE) using EDC/NHS chemistry. This study establishes HSP70 as a potential biomarker for monitoring therapeutic response during anticancer therapy. Impedance measurements of HSP70 on the Au@MnO2/MoO3/SPE immunosensor using EIS showed an increase in impedance with an increase in HSP70 concentration. The electrochemical immunosensor demonstrated a good linear response in the range of 0.001 to 1000 ng mL−1 with a detection limit of 0.17 pg mL−1 under optimal conditions. Moreover, the immunosensor was effective in detecting HSP70 at low concentrations in a lung adenocarcinoma cell line following Paclitaxel treatment, indicating its potential for early detection of the HSP70 biomarker in organ-on-a-chip and clinical applications. © 2023 The Royal Society of Chemistry.

关键词： Nanosheets

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Entropy-Based Analysis of Electromyography Signal Complexity During Flexion of the Flexor Carpi Radialis Muscle Under Varied Load Conditions 4th

Entropy-Based Analysis of Electromyography Signal Complexity...

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4th International Conference on Electronics, biomedical engineering, and Health Informatics, ICEBEHI 2023

作者： Katherine Putra, Alfian Pramudita Kurniawan, Angeline Shane Istiqomah, Dezy Zahrotul Sholihah, Nisa’ul Al-Salehi, Khalid Ali Salem Ain, Khusnul Sapuan, Imam Andarini, Esti Biomedical Engineering Master Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Engineering Study program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia School of Nursing Southern Medical University Guangdong Guangzhou510515 China

ISBN: (纸本)9789819714629

The motor impairments that stroke patients experience as a primary contributor to death and disability also impact their quality of life. Due to its characteristics as complex muscle signals, the Electromyograph (EMG) signal may be one of the markers in rehabilitation and a substitute that may be used to judge the success of rehabilitation. This study aims to analyze the complexity of EMG signals originating from the flexion of the flexor carpi radialis muscle with various weights indicating the rehabilitation state. It is important to monitor the progress of rehabilitation, and it can be done by using complexity analysis. The complexity of the EMG is examined in this work utilizing entropy measurement, namely Approximate Entropy (ApEn), Sample Entropy (SampEn), and Fuzzy Approximate Entropy (fApEn). We concentrated on the flexor carpi radialis muscle using flexion–extension exercises and varying the weight load. This study’s results indicate differences in the complexity of the EMG signal in the flexor carpi radialis when performing flexion–extension movements. Three differences showed a correlation based on the value of ApEN, SampEn, and fApEn. Complexity Analysis using fApEn showed the best correlation at R = 0.9966, which can be used to evaluate the rehabilitation process. The increase in weight was followed by the increase of the fApEn value, indicating that the value can be used to evaluate the rehabilitation process. The use of complexity analysis of EMG signal from flexion movement in flexor carpi radialis with various weights can be used to indicate the progress in the rehabilitation process. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Entropy

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