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Retinal thermal deformations measured with phase-sensitive optical coherence tomography in vivo

光：科学与应用（英文版） 2025年第5期14卷 1459-1468页

作者： Yueming Zhuo Mohajeet Bhuckory Huakun Li Junya Hattori Davis Pham-Howard David Veysset Tong Ling Daniel Palanker Department of Electrical Engineering Stanford UniversityStanfordCA 94305USA Hansen Experimental Physics Laboratory Stanford UniversityStanfordCA 94305USA Hansen Experimental Physics Laboratory Stanford UniversityStanfordCA 94305USA Department of Ophthalmology Stanford UniversityStanfordCA 94305USA School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological UniversitySingaporeSingapore Department of Mechanical Engineering The University of TokyoTokyoJapan Wellman Center for Photomedicine Harvard Medical SchoolMassachusetts General HospitalBostonMA 02114USA School of Chemistry Chemical Engineering and BiotechnologyNanyang Technological UniversitySingaporeSingapore Singapore Eye Research Institute Singapore National Eye CentreSingaporeSingapore SERI-NTU Advanced Ocular Engineering(STANCE)Program SingaporeSingapore School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore

Controlling the tissue temperature rise during retinal laser therapy is essential for predictable outcomes,especially at non-damaging *** demonstrate a method for determining the temperature rise in the retina using phase-sensitive optical coherence tomography(pOCT)in *** based on the thermally induced optical path length changes(ΔOPL)in the retina during a 10-ms laser pulse allow detection of the temperature rise with a precision less than 1 ℃,which is sufficient for calibration of the laser power for patient-specific non-damaging *** observed a significant difference in confinement of the retinal deformations between the normal and the degenerate retina:in wild-type rats,thermal deformations are localized between the retinal pigment epithelium(RPE)and the photoreceptors' inner segments(IS),as opposed to a deep penetration of the deformations into the inner retinal layers in the degenerate *** implies the presence of a structural component within healthy photoreceptors that dampens the tissue expansion induced by the laser heating of the RPE and pigmented *** hypothesize that the thin and soft cilium connecting the inner and outer segments(IS,OS)of photoreceptors may absorb the deformations of the OS and thereby preclude the tissue expansion further *** difference in the confinement of the retinal deformations induced by a laser pulse in healthy and degenerate retina may be used as a biomechanical diagnostic tool for the characterization of photoreceptors degeneration.

关键词： tomography with vivo coherence deformations measured optical phase-sensitive retinal thermal

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Development and biomechanical testing of full-scale human brain simulant

Journal of Engineering Research

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Journal of engineering Research 2025年第2期13卷 1223-1229页

作者： Promasree Majumdar Gurpreet Singh Arnab Chanda Department of Mechanical Engineering Indian Institute of Technology (IIT) Delhi India Centre for Biomedical Engineering Indian Institute of Technology (IIT) Delhi India Department of Biomedical Engineering All India Institute of Medical Sciences (AIIMS) Delhi India

In 21st century, traumatic Brain Injuries (TBI) due to blast exposure or head impacts in contact sports, accidents are one of most critical research area. But the area of TBI is poorly investigated due to the limitation of brain tissue availability and related ethical/biosafety issues. In general, the brain tissue is difficult to acquire after the autopsy and test in laboratorial settings. In this work, a full-size human brain simulant was developed using a biofidelic multi-part polymeric material poured into a negative mould which was designed and 3D printed. Based on the number of mild to moderate traumatic brain injury cases reported in the literature, three TBI prominent locations were chosen. The prefrontal cortex of frontal lobe, top portion of parietal lobe and temporal lobe of right hemisphere of the brain were the locations where the experiments were conducted under compressive loading conditions. The load versus displacement data was recorded and converted to the stress-strain plots to analyse the result responses and its implications. Two constitutive hyperelastic models (Yeoh model and Neo-Hookean) were selected for curve fitting and characterizing the non-linear mechanical behavior of the full-scale brain model. Such precisely developed and characterized full-scale brain simulant has not been reported in the literature to date and would be beneficial for simulating a wide range of traumatic brain injuries and surgical training.

关键词： Brain tissue Traumatic brain injury mechanical properties Hyperelasticity

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Public Acceptance of Electric Vehicles in Indonesia

Public Acceptance of Electric Vehicles in Indonesia

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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Widiawati, Karsi Sopha, Bertha Maya Wardana, Fakhri Kusuma Universitas Gadjah Mada Industrial Engineering Program Department of Mechanical and Industrial Engineering Yogyakarta55281 Indonesia

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Electric vehicles have been considered as one of the measures to reduce emissions in Indonesia. The paper aims at understanding public acceptance toward electric vehicles in Indonesia. An empirical survey involving eighty respondents was conducted to collect data on the technical performance, the usage, the perception of electric vehicle as well as the respondents' characteristics. The data was analysis using multinomial logistic regression (MLR) to identity the significant factors explaining the acceptance toward electric vehicles. It is found that the technical performance of electric vehicles, the use of electric vehicles, perceptions of electric vehicles, and consumer characteristics are all to be significant in public acceptance of electric vehicles. Among the factors, the technical performance appears to be the most significant, whereas the usage factor (operating and maintenance cost, supporting facilities) is least significant. The application of MLR and potential interventions to improve public acceptance of electric vehicles in Indonesia are presented. Avenues for potential future research are also discussed. © 2022 IEEE.

关键词： Vehicle performance

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Design a System to Automatically Detect Common Skin Diseases Using Deep Learning and Web Application 9th

Design a System to Automatically Detect Common Skin Diseases...

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9th International Conference on the Development of biomedical engineering in Vietnam, BME 2022

作者： Nguyen, Phuc Hoang Ngo, Hoan Thanh Ngo, Lua Thi School of Biomedical Engineering International University Ho Chi Minh City Viet Nam Vietnam National University Ho Chi Minh City Viet Nam Department of Mechanical Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD United States

ISBN: (纸本)9783031446290

Skin and subcutaneous conditions affect nearly 1.9 billion people at any given time and are the fourth leading cause of the burden of non-fatal disease worldwide. Accurate diagnosis of skin diseases is also a challenge for dermatologists because several skin diseases have similar morphological features, extensive areas of inflammation, the complexity of skin color, and disease color change in hairy areas. Furthermore, the shortage and unequal distribution of qualified dermatologists significantly influences the diagnostic outcome. Based on a deep learning platform, this study developed an automated system to classify four common inflammatory skin diseases with similar morphological and color features including eczema, psoriasis, actinic keratosis, and severe acne. The study used 5433 images for four diseases taken from the SD-260 and Dermnet datasets. The deep learning model developed in this study was a customized ResNet152 model. The deep learning model developed in this study gave better than 89% accuracy results. Finally, we built a simple web application using Flask-Ngrok that automatically classified skin diseases with the developed built-in model. This study shows that deep learning has great potential for the accurate classification of skin diseases and strongly develops teledermatology to aid in disease diagnosis. Besides, it also provides a simple way to build web apps on Google Colaboratory, which anyone can access for free to build and run AI models independent of computer hardware. © The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.

关键词： Computer hardware

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A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 181-194页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering the Institute of Biomedical Engineering the Department of Electronics and Electrical Engineering the Institute of Pioneer Semiconductor Innovation and the Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan

Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and patterns in large datasets. Therefore, in this paper a novel design scheme based on dynamically adaptive neural network (DANN) is proposed to develop fast and accurate compact model (CM). This framework constitutes a powerful yet computationally efficient methodology and exhibits emergent dynamic behaviors. This paper demonstrates that the compact model based on ML can be designed to replicate the performance of conventional compact model for nanodevices. For this work, gate-all-around (GAA) nanosheet (NS) device characteristics are comprehensively analyzed for process variability sources using the proposed model. The device geometry parameters such as channel length, nanosheet width and nanosheet thickness are fed as input features to the DANN model. The adaptive neural network learns dynamically by updating weights of the model in accordance with the input features and achieves accurate neural weight convergence. The proposed model predicted the electrical characteristics of NS devices with less than 1% error rate. The model is also implemented and validated for the simulations of digital circuit designs such as inverter, and logic gates. ©;2023 The Authors.

关键词： Circuit simulation

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Statistical analyses of pore radii on the performance of PET-nanocomposite membranes in the removal of iron and anions from Ibeshe River

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South African Journal of Chemical engineering 2023年 44卷 89-102页

作者： Agboola, Oluranti Khalih, Ajibola Ademola Oladokun, Olagoke Ayeni, Augustine Omoniyi Uzokwe, Frederick Chukwudubem Odunlami, Olayemi Elehinafe, Francis Yahaya, Abdulrazaq Fayomi, Ojo Sunday Isaac Department of Chemical Engineering Covenant University Ogun State Ota Nigeria Department of Pure and Industrial Chemistry Kogi State University Kogi State Anyigba Nigeria Department of Mechanical and Biomedical Engineering Bells University of Technology Ogun State Ota Nigeria

The industrialization in Lagos State has impacted the Ibeshe watershed, as a result, lower water quality is being experienced. Hence, a novel way on the potential use of waste to treat Ibeshe watershed by synthesizing of graphene oxide and incorporating it into PET bottle waste membranes was studied. Polyethylene terephthalate (PET) membranes embedded with 1wt%, 2wt%, and 3wt% graphene oxide (GO) (M1, M2, and M3), were prepared via non-solvent-induced phase separation on polyester nonwoven support with the use of polyethylene glycol (PEG) as an additive. The surface morphologies of the three membranes appeared to be considerably different. The pore volume steadily reduces with an upsurge in the quantity of GO embedded in the membranes. A statistical assessment employing a uniform distribution curve was done using Python and the outcomes depict that the distribution of the radius data was firmly gathered around the mean. From the adsorption study, Fe²⁺ does not have the power to attract HCO³⁻ in the transitory state at the surface of the membrane;hence HCO³⁻ could not reach equilibrium at 80 min. The membranes’ performance was studied via flux and the rejection of iron and anions. The rejection rate calculated for the three anions and iron was observed to be high in the M3 membrane. The M3 membrane% rejection of the anions and iron is 96%, 85%%, 72%, and 60% for NO³⁻, Cl⁻, HCO³⁻ and Fe, respectively. An upsurge in the amount of GO improved the water flux;hence, 3wt% GO gave the maximum water flux. © 2023 The Author(s)

关键词： Data distribution ImageJ PET-nanocomposite membranes Pore radius Python SEM

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Recent advances in microsystem approaches for mechanical characterization of soft biological tissues

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Microsystems & Nanoengineering 2022年第4期8卷 1-16页

作者： Enming Song Ya Huang Ningge Huang Yongfeng Mei Xinge Yu John A.Rogers Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of OptoelectronicsFudan UniversityShanghai 200433China International Institute of Intelligent Nanorobots and Nanosystems Fudan UniversityShanghai 200433China Department of Biomedical Engineering City University of Hong KongHong Kong 999077China Department of Materials Science Fudan UniversityShanghai 200433China Querrey Simpson Institute for Bioelectronics Department of Materials Science and EngineeringDepartments of Biomedical EngineeringNeurological SurgeryChemistryMechanical EngineeringElectrical Engineering and Computer ScienceNorthwestern UniversityEvanstonIL 60208USA

Microsystem technologies for evaluating the mechanical properties of soft biological tissues offer various capabilities relevant to medical research and clinical diagnosis of pathophysiologic *** progress includes(1)the development of tissue-compliant designs that provide minimally invasive interfaces to soft,dynamic biological surfaces and(2)improvements in options for assessments of elastic moduli at spatial scales from cellular resolution to macroscopic areas and across depths from superficial levels to deep *** review summarizes a collection of these technologies,with an emphasis on operational principles,fabrication methods,device designs,integration schemes,and measurement *** core content begins with a discussion of platforms ranging from penetrating filamentary probes and shape-conformal sheets to stretchable arrays of ultrasonic *** sections examine different techniques based on planar microelectromechanical system(MEMS)approaches for biocompatible interfaces to targets that span scales from individual cells to *** highlighted example includes miniature electromechanical devices that allow depth profiling of soft tissue biomechanics across a wide range of *** clinical utility of these technologies is in monitoring changes in tissue properties and in targeting/identifying diseased tissues with distinct variations in *** results suggest future opportunities in engineered systems for biomechanical sensing,spanning a broad scope of applications with relevance to many aspects of health care and biology research.

关键词： advances identifying utility

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In-vivo sonothrombolysis with a forward-viewing ultrasound balloon catheter in a swine deep vein thrombosis (DVT) model

In-vivo sonothrombolysis with a forward-viewing ultrasound b...

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2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Wu, Huaiyu Zhang, Bohua Kim, Jinwook Owens, Gabe Stocker, Greyson Chen, Mengyue Cornett, Ashley Bautista, Kathlyne Dayton, Paul A. Xu, Zhen Jiang, Xiaoning North Carolina State University Department of Mechanical and Aerospace Engineering RaleighNC27695 United States University of North Carolina at Chapel Hill Joint Department of Biomedical Engineering Chapel HillNC27599 United States University of Michigan Department of Biomedical Engineering Ann ArborMI48109 United States

ISBN: (纸本)9798350346459

Thrombosis has emerged as one of the foremost global causes of death. However, the currently available thrombolysis techniques, such as fibrinolytic agent administration and mechanical thrombectomy, are associated with prolonged treatment duration and an increased risk of hemorrhage. Here we present our development of a novel 9 Fr intravascular forward-viewing sonothrombolysis balloon catheter and initial in-vivo testing in a swine DVT model. The balloon was designed to expand during treatment, improving transducer alignment with the clot and enhancing catheter visualization under ultrasound guidance. The forward-viewing configuration enables thrombolysis of both partial and completely occluded clots, which created a flow channel of 2-2.5 mm diameter through all four completely occluded acute clots of ~2cm long in 30 minutes in-vivo. © 2023 IEEE.

关键词： Balloons

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Synthesis and Characterization of Silver -doped Hydroxyapatite-Coated Polyether ether ketone for Dental Applications 15

Synthesis and Characterization of Silver -doped Hydroxyapati...

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15th biomedical engineering International Conference, BMEiCON 2023

作者： Wailerdsak, Tanawat Ngamkham, Kamolchanok Khantachawana, Anak King Mongkut's University of Technology Thonburi Department of Biological Engineering Program Bangkok Thailand King Mongkut's University of Technology Thonburi Department of Mechanical Engineering Bangkok Thailand

ISBN: (纸本)9798350345247

The main objective of this paper is to develop and characterize silver-doped hydroxyapatite (Ag-HA) coating on Polyether ether ketone (PEEK). The physicochemical characteristic of Ag-HA coated on PEEK was evaluated by X-ray diffraction (XRD) analysis, Fourier transform infrared spectroscopy (FTIR), and also determining calcium (Ca) / phosphorus (P) ratio and silver (Ag) / calcium (Ca) ratio by inductive coupled plasma atomic emission spectroscopy (ICP-AES). The surface morphology of Ag-HA coated on PEEK was analyzed by scanning electron microscopy (SEM). XRD, FTIR, and ICP-AES analysis of the coated layer confirms Ag-HA deposition on PEEK, the Ag successfully substitutes Ca in the hydroxyapatite (HA) lattice. The Ag substitution is not 100 % as compared with the initial added Ag. Surface morphology analysis of Ag-HA-coated PEEK reveals the flake structure of Ag-HA formation on PEEK. © 2023 IEEE.

关键词： Hydroxyapatite

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Real-Time Object Detection Performance of YOLOv8 Models for Self-Driving Cars in a Mixed Traffic Environment 2

Real-Time Object Detection Performance of YOLOv8 Models for ...

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2nd International Conference on Computer System, Information Technology, and Electrical engineering, COSITE 2023

作者： Afdhal, Afdhal Saddami, Khairun Sugiarto, Sugiarto Fuadi, Zahrul Nasaruddin, Nasaruddin Doctoral Program School of Engineering Universitas Syiah Kuala Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Indonesia Department of Civil Engineering Universitas Syiah Kuala Indonesia Department of Mechanical dan Industrial Engineering Universitas Syiah Kuala Indonesia Indonesia

ISBN: (纸本)9798350343069

Self-driving cars have gained significant attention in recent years. Real-time object detection is a critical component of their perception system. One of the main challenges in developing safe and efficient self-driving cars lies in accurately and in real-time detecting objects in diverse and complex traffic environments. This paper presents the performance evaluation of real-time object detection of YOLOv8 models, a state-of-the-art deep learning framework for self-driving cars in mixed traffic environments. The objective is to assess the extent of YOLOv8's object detection capabilities can be used for self-driving car within complex realworld traffic scenarios. The experimental results show that the accuracy of YOLOv8 during normal daylight scenarios ranges from 0.60 ~ 0.80. In contrast, the accuracy values obtained in night scenarios fall between 0.15 ~ 0.25. Similarly, the FMeasure of YOLOv8 models under daylight conditions ranges from 0.75 ~ 0.87. Conversely, the F-Measure in night conditions falls between 0.27 ~ 0.46. Based on our thorough evaluation results, YOLOv8 has demonstrated its robustness in detecting objects. However, the algorithm requires improvement to effectively handle the challenges of self-driving cars' object detection systems in mixed traffic, such as diverse object classifications, small-scale objects, fast-moving objects, blur, glare, and low-light illumination, particularly in nighttime scenarios. © 2023 IEEE.

关键词： Object detection

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