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Revised in-depth meta-analysis on the efficacy of robot-assisted versus traditional free-hand pedicle screw insertion

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Laparoscopic, Endoscopic and Robotic Surgery 2024年第4期7卷 155-165页

作者： Sorayouth Chumnanvej Branesh M.Pillai Jackrit Suthakorn Siriluk Chumnanvej Neurosurgery Division Department of SurgeryFaculty of Medicine Ramathibodi HospitalMahidol UniversityBangkokThailand Center for Biomedical and Robotics Technology(BART LAB) Faculty of EngineeringMahidol UniversityBangkokThailand Department of Anesthesiology and Operating Room Phramongkutklao HospitalBangkokThailand

Objective:Robot-assisted pedicle screw insertion has recently emerged as an alternative to the traditional free-hand ***,discrepancies in the accuracy of screw placement between the 2 methods have been highlighted by some comparative *** meta-analysis was conducted to synthesize evidence comparing these ***:Searches were conducted in 5 electronic databases adhering to specific eligibility criteria for randomized and observational *** data were analyzed using RevMan software and the results are presented as odds ratios(ORs),mean differences,or standard mean differences(SMDs)with 95%confidence intervals(CIs).Our analysis included 12 studies(7 randomized trials and 5 observational studies,involving 883 patients and 4903 screws).Results:The results demonstrated a higher rate of Grade A Gertzbein and Robbins pedicle placement score(OR:1.77;95%CI:1.10e2.87),a lower rate of revision surgeries(OR:0.21;95%CI:0.09e0.52),and a shorter radiation exposure duration(SMD?1.38,95%CI:2.32 to0.44)in the robot-assisted group compared with the free-hand ***,the length of hospital stay,volume of intraoperative blood loss,postoperative visual analogue scale scores for back pain,and rate of wound infection were similar between the 2 *** heterogeneity was observed in some ***:Compared with the free-hand method,the robot-assisted technique provides greater accuracy and reduced radiation *** efficacy of the robot-assisted technique is expected to improve further as experience with its use in surgery grows.

关键词： Robotic surgery Pedicle screw placement Free-hand Fluoroscopy Meta-analysis

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Detection of Hand Movement Using Time, Frequency and Time-Frequency Features of the Electromyogram Signal in Order to Create a Human-Machine Interface 5

Detection of Hand Movement Using Time, Frequency and Time-Fr...

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5th National and the 1st International Conference on Applied Research in Electrical engineering, AREE 2025

作者： Yasoubi, Seyed Mohammad Ghasemi, Mahnaz Mousavi, Seyed Amirhossein Abedian, Shima Mashhad Branch Islamic Azad University Department of Mechanical Engineering Mashhad Iran Shahrood University of Technology Department of Mechatronics Engineering Shahrood Iran Mashhad Branch Islamic Azad University Department of Biomedical Engineering Mashhad Iran Biomedical Engineering Research Center Imamreza International University Mashhad Iran

ISBN: (纸本)9798350377170

This study presents an electromyography (EMG)-based hand gesture recognition system that leverages machine learning techniques to accurately classify hand gestures. A total of 33 participants (21 men and 12 women, average age 24.8 years) performed six hand movements under controlled conditions. EMG signals were recorded at a sampling rate of 1024 Hz and filtered using a band-pass Butterworth filter (20-450 Hz) and a notch filter to remove power-line interference. Signal normalization ensured consistency across trials, and extensive feature extraction was conducted, capturing time-domain, frequency-domain, time-frequency, and nonlinear characteristics. To optimize classification, three feature selection methods were employed: Principal Component Analysis (PCA), Recursive Feature Elimination (RFE), and Mutual Information (MI). Results indicate that MI-based feature selection, coupled with a Radial Basis Function (RBF) Support Vector Machine (SVM) classifier, provided the highest accuracy (91.7%}) across key metrics, outperforming linear SVM. This study highlights the importance of signal preprocessing, feature extraction, and appropriate classifier selection for enhancing the robustness of EMG-based gesture recognition. The findings have potential applications in prosthetics, assistive technology, and human-machine interfaces (HMIs), offering a reliable approach for interpreting complex EMG signals. © 2025 IEEE.

关键词： Gesture recognition

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3D micropattern force triggers YAP nuclear entry by transport across nuclear pores and modulates stem cells paracrine

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National Science Review 2023年第8期10卷 180-193页

作者： Yan Li Zhenyu Zhong Cunjing Xu Xiaodan Wu Jiaqi Li Weiyong Tao Jianglin Wang Yingying Du Shengmin Zhang Advanced Biomaterials and Tissue Engineering Center Huazhong University of Science and Technology Department of Biomedical Engineering Huazhong University of Science and Technology Research Base of Regulatory Science for Medical Devices National Medical Products Administration&Institute of Regulatory Science for Medical Devices Huazhong University of Science and Technology

Biophysical cues of the cellular microenvironment tremendously influence cell behavior by mechanotransduction. However, it is still unclear how cells sense and transduce the mechanical signals from 3D geometry to regulate cell function. Here, the mechanotransduction of human mesenchymal stem cells(MSCs) triggered by 3D micropatterns and its effect on the paracrine of MSCs are systematically investigated. Our findings show that 3D micropattern force could influence the spatial reorganization of the cytoskeleton, leading to different local forces which mediate nucleus alteration such as orientation,morphology, expression of Lamin A/C and chromatin condensation. Specifically, in the triangular prism and cuboid micropatterns, the ordered F-actin fibers are distributed over and fully transmit compressive forces to the nucleus, which results in nuclear flattening and stretching of nuclear pores, thus enhancing the nuclear import of YES-associated protein(YAP). Furthermore, the activation of YAP significantly enhances the paracrine of MSCs and upregulates the secretion of angiogenic growth factors. In contrast, the fewer compressive forces on the nucleus in cylinder and cube micropatterns cause less YAP entering the *** skin repair experiment provides the first in vivo evidence that enhanced MSCs paracrine by 3D geometry significantly promotes tissue regeneration. The current study contributes to understanding the in-depth mechanisms of mechanical signals affecting cell function and provides inspiration for innovative design of biomaterials.

关键词： bioactive materials tissue regeneration 3D micropattern force paracrine mechanotransduction

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Interaction between Duty Ratio and Eye Movement for Motion Artifacts

Interaction between Duty Ratio and Eye Movement for Motion A...

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International Symposium, Seminar, and Exhibition, Display Week 2024

作者： Han, Chang-Yeong Choe, Seonggyu Kim, Hyosun Kwon, Oh-Sang Department of Biomedical Engineering UNIST Ulsan Korea Republic of Samsung Display Research Center Frontier Technology Team Korea Republic of

Previous research compared the motion artifacts under tracking and fixating conditions with moving stimulus and suggested that shorter duty ratios resulted in enhanced display quality by minimize motion blur in tracking condition (Hoffman et al, 2014). However, in real-world, interactions between eye movements and stimulus motion are more intricate than their experimental setups. We investigated the interaction further by employing various eye movement and stimulus motion combinations: A. Smooth Pursuit + Moving stimulus, B. Smooth Pursuit + Stationary stimulus, C. Fixation + Moving stimulus, D. Saccade + Stationary stimulus, and E. Saccade + Moving stimulus. Participants compared short duty ratio (10%) and a long duty ratio (90%) stimuli at 60 Hz to a reference stimulus of a 100% duty ratio at 1440 Hz. Participants perceived the short duty ratio stimulus as more closely resembling the reference stimulus in condition A as in the previous study. Interestingly, in conditions B and E, participants reported the long-duty ratio stimulus is more similar to the reference stimulus. There was no significant difference between short and long duty ratios in conditions C and D. These findings challenge the conventional assumption that less motion blur (associated with short duty ratio) is inherently more natural and suggest that even strong motion blur (associated with long duty ratio) can be perceived as more natural under specific conditions. This study underscores the importance of considering the complex interactions between eye movements, duty ratio, and stimulus motion when evaluating display image quality. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Duty Ratio Eye Movement Image Quality Motion Artifacts Movie Quality

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The Effect of Graying Process on The Mechanical and Chemical Properties of Human Hair: An Experimental Study 31

The Effect of Graying Process on The Mechanical and Chemical...

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31st National and 9th International Iranian Conference on biomedical engineering, ICBME 2024

作者： Eskandari, Farzaneh Rahimtoroghi, Elham Eskandari, Faezeh Shahid Beheshti University Protein Research Center Tehran Iran Amirkabir University of Technology Department of Biomedical Engineering Tehran Iran

ISBN: (纸本)9798331529710

Aging significantly impacts the form and function of the human body. One of the most obvious signs of aging is scalp hair graying which often encourages people to use hair dyes. Investigating the chemical and physical properties of black and white hair could lead to improve the quality of cosmetic products. Therefore, the current study aimed to analyze the changes in the structural, mechanical, and chemical properties of human hair fibers due to the graying process. White and black hair fibers were collected from West-Asian females, and their morphology, chemical structure, and mechanical properties were studied using scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and uniaxial tensile tests. The results revealed that the morphological properties of black and white hairs did not significantly differ (p>0.05). Additionally, FTIR analysis indicated that black hair exhibited a higher peak around 3350 cm-1 compared to white hair, possibly due to melanin content. Furthermore, mechanical tests demonstrated that white hair samples were significantly stiffer that black hair samples (p © 2024 IEEE.

关键词： Tensile testing

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Preparation and Structure-Property Regulation Mechanism of Reversible Thermochromic Polydiacetylene

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Chinese Journal of Polymer Science 2024年第8期42卷 1111-1121页

作者： Zhi-Qing Ge Shuo Yan Zu-Xiong Pan Shan Lei Xuan-Zhi Mao Chu Zhao Mo-Zhen Wang Xue-Wu Ge Key Laboratory of Precision and Intelligent Chemistry Department of Polymer Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China Marshall Laboratory of Biomedical Engineering International Cancer CenterLaboratory of Evolutionary Theranostics(LET)School of Biomedical EngineeringShenzhen University Medical SchoolShenzhen UniversityShenzhen 518055China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China University of Chinese Academy of Sciences Beijing 100049China

The thermochromic mechanism and the structure-property regulation principle of reversible thermochromic polydiacetylene(PDA)materials have always been a challenging *** this work,a series of diacetylene monomers(m-PCDA)containing phenyl and amide or carboxyl groups were synthesized from 10,12-pentacosadiynoic acid(PCDA)through the esterification or amidation *** effects of the number and the distribution of the functional groups in m-PCDA molecules on their solid-state polymerization capability,and the thermochromic mechanism of their corresponding polymers(m-PDA)were investigated and discussed in *** results show that the m-PCDA monomers containing both benzene ring and groups that can form hydrogen bonding interactions have strong intermolecular interaction,and are easy to carry out the solid phase polymerization under 254-nm UV irradiation to obtain the corresponding new thermochromic m-PDA *** thermochromic behavior of m-PDA depends on its melting *** initial color-change temperature(blue to red)is determined by the onset melting tem perature,and the temperature range in which reversible color recovery can be achieved by repeat heating-cooling treatment is determined by its melting *** to the proposed thermochromic mechanism of PDA,various new PDA materials with precise thermochromic temperatu res and reversible thermochromic temperature ra nges can be designed and synthesized through the appropriate introduction of benzene ring and groups that can form hydrogen bonding interactions into the molecular structure of linear diacetylene *** work provides a perspective to the precise molecular structure design and the property regulation of the reversible thermochromic PDA materials.

关键词： Polydiacetylene Thermochromism Hydrogen bonding Chemical modification

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Magnetic nanoparticles for ferroptosis cancer therapy with diagnostic imaging

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Bioactive Materials 2024年第2期32卷 66-97页

作者： Min Jun Ko Sunhong Min Hyunsik Hong Woojung Yoo Jinmyoung Joo Yu Shrike Zhang Heemin Kang Dong-Hyun Kim Department of Radiology Feinberg School of MedicineNorthwestern UniversityChicagoIL60611USA Department of Materials Science and Engineering Korea UniversitySeoul02841Republic of Korea Department of Biomedical Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan44919Republic of Korea Division of Engineering in Medicine Department of MedicineBrigham and Women’s Hospital Harvard Medical SchoolCambridgeMA02139USA College of Medicine Korea UniversitySeoul02841Republic of Korea Department of Biomedical Engineering University of IllinoisChicagoIL60607USA Robert H.Lurie Comprehensive Cancer Center Northwestern UniversityChicagoIL60611USA Department of Biomedical Engineering McCormick School of EngineeringNorthwestern UniversityEvanstonIL60208USA

Ferroptosis offers a novel method for overcoming therapeutic resistance of cancers to conventional cancer treatment *** effective use as a cancer therapy requires a precisely targeted approach,which can be facilitated by using nanoparticles and nanomedicine,and their use to enhance ferroptosis is indeed a growing area of *** a few review papers have been published on iron-dependent mechanism and inducers of ferroptosis cancer therapy that partly covers ferroptosis nanoparticles,there is a need for a comprehensive review focusing on the design of magnetic nanoparticles that can typically supply iron ions to promote ferroptosis and simultaneously enable targeted ferroptosis cancer ***,magnetic nanoparticles can locally induce ferroptosis and combinational ferroptosis with diagnostic magnetic resonance imaging(MRI).The use of remotely controllable magnetic nanocarriers can offer highly effective localized image-guided ferroptosis cancer ***,recent developments in magnetically manipulable nanocarriers for ferroptosis cancer nanomedicine with medical imaging are *** review also highlights the advantages of current state-of-the-art image-guided ferroptosis cancer ***,image guided combinational ferroptosis cancer therapy with conventional apoptosis-based therapy that enables synergistic tumor therapy is discussed for clinical translations.

关键词： Magnetic nanoparticles Ferroptosis cancer therapy Diagnostic imaging Magnetic resonance imaging Synergistic cancer imaging and therapy

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Janus orthogonal nanofiber membrane containing CPP@PDA for skull base reconstruction

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材料科学技术（英文版） 2025年第1期204卷 314-327页

作者： Xiaomei Xia Ziyang Liu Hongshui Wang Yazhou Hu Werner E.G.Müller Xiaohong Wang Kun Qin Jiantao Zheng Huan Zhou Lei Yang Chunyong Liang School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China Center for Health Science and Engineering Hebei Key Laboratory of Biomaterials and Smart TheranosticsSchool of Health Sciences and Biomedical EngineeringHebei University of TechnologyTianjin 300131China Department of Orthopedics Tianjin HospitalTianjin 300299China Center for Health Science and Engineering Hebei Key Laboratory of Biomaterials and Smart TheranosticsSchool of Health Sciences and Biomedical EngineeringHebei University of TechnologyTianjin 300131China School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China ERC Advanced Investigator Grant Research Group at the Institute for Physiological Chemistry University Medical Center of the Johannes Gutenberg UniversityDuesbergweg 6D-55128 MainzGermany Department of Neurosurgery Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhou 510180China

In neurosurgery procedures,cerebrospinal fluid leakage is a commonly encountered ***-constructing skull base defects with patch materials can reduce the risk of cerebrospinal fluid leakage which can lead to serious issues such as infection,meningitis,arachnoiditis,and delayed wound *** ideal skull base reconstruction material should not only serve as a leak-proof barrier but also pro-mote skull base bone *** fulfill this challenge,this research designed and fabricated a Janus orthogonal bilayer nanofiber membrane(OPCL/PG-PCPP).The aligned PCL(APCL)nanofibers were con-stituted as the top layer to resist cerebrospinal fluid leakage,while the perpendicular PCL/gelatin(APG)fibers with calcium polyphosphate encapsulated polydopamine nanoparticles(CPP@PDA,labeled as PCPP)were designed as the bottom layer(APG-PCPP)to facilitate osteoblast migration and osteogenic *** these,APG-1％PCPP nanofibers demonstrated the most effective induction of osteogenic differentiation in bone marrow mesenchymal stem cells(rBMSCs).Subsequent in vivo animal experi-ments revealed that the bone surface area(BS),bone volume fraction(BV/TV),and number of trabec-ulae(Tb.N)in the APG-1％PCPP group were twice as high as those in the control group,which confirmed the good osteogenic ***,due to its unique leak-proof and osteoinductive properties,the OPCL/PG-PCPP membrane holds promise as an applicable skull base reconstruction material in the field of neurosurgery.

关键词： Skull base reconstruction Calcium polyphosphate Orthogonal nanofiber membrane Cell migration

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Brain Tumor Classification by Ensemble Learning Utilizing Wavelet Transformation-based Statistical Features 2

Brain Tumor Classification by Ensemble Learning Utilizing Wa...

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2nd International Conference on Power, Electrical, Electronics and Industrial Applications, PEEIACON 2024

作者： Akter, Sharmin Talukder, Md. Simul Hasan Enam, Sadia Khanam, Farzana Jashore University of Science and Technology Department of Biomedical Engineering Jashore Bangladesh Dhaka University of Engineering & Technology Electrical and Electronic Engineering Gazipur Bangladesh Bangabandhu Sheikh Mujibur Rahman Digital University Internet of Things and Robotics Engineering Gazipur Bangladesh

ISBN: (纸本)9798331517984

Brain tumors are regarded as highly dangerous and severe conditions, frequently leading to a substantial reduction in life expectancy. Accurate identification of brain tumors is essential for developing successful therapies that can increase patients' chances of survival. The process of manually examining and interpreting extensive MRI data can be both complex and labor-intensive. As a result of this, there is a pressing need for a trustworthy machine-learning method for accurately identifying brain tumors, and during the last decade, many approaches have been implemented. This research presents a novel method to identify as abnormal any given MR brain image. The proposed method begins with the application of DWT to extract features from images. To find the most pertinent features, PCA is then applied as a feature selection method. These selected features are classified using both a SVM with a polynomial kernel and an Ensemble of Decision Trees (EoDT), with k-fold cross-validation employed to improve the model's generalizability. Our proposed methods demonstrate enhanced performance, with the EoDT model attaining the maximum classification accuracy of 99.95%. The SVM model obtains an accuracy of 90.61%, while the combined model reaches an accuracy of 94.20%. The experimental data indicate that the method is both effective and efficient, making it suitable for brain tumor classification. It can assist doctors in diagnosing whether a patient is normal or abnormal to varying degrees. © 2024 IEEE.

关键词： Discrete wavelet transforms

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A Segmentation-based Deep Learning Method for Automatic Atrial Fibrillation Detection Using RR Intervals 24

A Segmentation-based Deep Learning Method for Automatic Atri...

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9th International Conference on biomedical Signal and Image Processing, ICBIP 2024

作者： Feng, Xiaoli Lin, Fan Li, Qiang Zhang, Peng Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Science and Technology China Division of Cardiology Department of Internal Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology China

ISBN: (纸本)9798400717970

Accurate and reliable automatic detection of atrial fibrillation (AF) in long-term dynamic electrocardiogram (ECG) recording is crucial for diagnosing the disease, tracking its progression, and assisting doctors in developing personalized care plans. Many automatic AF detection methods have been proposed, however, these methods regarded AF detection as a classification task, which limited the detection resolution. Moreover, most of them were developed and evaluated based on public datasets that included limited patients data. In this study, we regarded AF detection as a segmentation task and proposed a one-dimensional UNet-based model for AF segmentation using RR intervals data. For evaluating our method, we built an in-house dataset of 200 24-hour 12-lead Holter recordings for training and testing it in the intra-dataset manner, and further tested our method on a publicly available dataset of 23 10-hour 2-lead Holter recordings in the inter-dataset manner for evaluating its generalization ability. Our method obtained 95.5% sensitivity, 97.5% specificity, and 97.0% accuracy on the in-house dataset, and outperformed state-of-the-art methods on the public AFDB dataset, indicting high performance and good generalization ability. Therefore, our method has good potential in real clinical practice of AF detection. © 2024 Copyright held by the owner/author(s).

关键词： Deep learning

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