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2024 IEEE Nanotechnology Materials and Devices Conference, NMDC 2024

作者： Almenshad, Salim I. Alalawi, Aqeel Y. Ahmed, Shaikh S. School of Electrical Computer and Biomedical Engineering Southern Illinois University Carbondale CarbondaleIL62901 United States

ISBN: (纸本)9798331541439

We numerically investigate the role of atomistic inhomogeneity and quantization in low-dimensionality lateral tri-gated AlGaN/GaN FinFET devices. It is shown that atomicity leads to pronounced dependence of the threshold voltage on the barrier layer thickness. This demands the use of non-symmetry preserving models in the calculation of polarization fields and induced interfacial charges in device simulation. The overall simulation framework is primarily based on two modules: i) a fully-atomistic framework to calculate strain and polarization fields, and ii) a full 3-D quantum-corrected Monte Carlo electron transport module to obtain the device's terminal current-voltage characteristics. © 2024 IEEE.

关键词： Gallium nitride

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Detection of Mycobacterium Tuberculosis Using Real-time Detection Transformer 25

Detection of Mycobacterium Tuberculosis Using Real-time Dete...

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25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024

作者： Umam, Khairul Purnama, I. Ketut Eddy Rachmadi, Reza Fuad Wulandari, Sari Ayu Institut Teknologi Sepuluh Nopember Department of Electrical Engineering Surabaya Indonesia Institut Teknologi Sepuluh Nopember Department of Electrical Engineering Department of Computer Engineering Surabaya Indonesia Universitas Dian Nuswantoro Department of Biomedical Engineering Semarang Indonesia

ISBN: (纸本)9798350378573

Tuberculosis is a severe disease caused by Mycobacterium tuberculosis (MT). In handling it, the sputum examination method was used because it is relatively cheap and easy. The importance of MT detection in medical personnel analysis. We propose detection of Mycobacterium tuberculosis (MT) with a 1-stage detection object using two models: Detection Transformer (DETR) and Real-time Detection Transformer (RT-DETR) with different backbone variations to determine the performance of both models and conduct experiments using other models, such as yolov5l and Faster-RCNN, to compare their evaluation results with those of the DETR and RT-DETR models. In this study, MT detection using DETR with the Backbone ResNet 101 variation obtained AP:50 = 0.681 and AP:50:95 = 0.276. The RT-DETR model with HGNetv2l backbone variations yielded AP:50 = 0.837 and AP:50:95 = 0.147. The Yolov5l model produced AP:50 = 0.75 and AP:50:95 = 0.326 values. while the Faster-RCNN model produced AP:50 = 0.696 and AP:50:95 = 0.30. The results of RT-DETR with the HGNetv2-l backbone demonstrated good performance in the detection of Mycobacterium tuberculosis. © 2024 IEEE.

关键词： detection detection transformer mycobacterium tuberculosis transformer tuberculosis

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Yolov9 models for cancer detection in biopsy images: segmentation on pan-cancer data 9

Yolov9 models for cancer detection in biopsy images: segment...

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9th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2024

作者： Smyrlis, Panagiotis N. Ntetska, Aimilia Karamitsou, Thomai Dimaraki, Foteini Tzimourta, Katerina D. Angelidis, Pantelis Tsipouras, Markos G. University of Western Macedonia Laboratory of Biomedical Technology and Digital Health School of Electrical and Computer Engineering Kozani Greece

ISBN: (纸本)9798350342482

This work examines the use of recent Yolo models on segmenting cancer biopsy images to highlight the tissue classes of interest. The experiments include recent YoloV9 and V8 architectures, trained on a large pan-cancer dataset, which contains examples for 19 distinct cancer cases. The models' predictive capability was measured and comparatively studied, and detailed Panoptic Quality and precision metrics are discussed. The results obtained indicate the fine performance of recent Yolo models on cancer segmentation task, while all version 9 algorithms did surpass preceeding architectures. This study also examined the effect of the Yolo framework data augmentation methods for performance enhancement, by conducting experiments for two image sizes, 256 (original size) and 512 pixels. © 2024 IEEE.

关键词： Lung cancer

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A soft,high-density neuroelectronic array

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npj Flexible Electronics 2023年第1期7卷 131-138页

作者： Kyung Jin Seo Mackenna Hill Jaehyeon Ryu Chia-Han Chiang Iakov Rachinskiy Yi Qiang Dongyeol Jang Michael Trumpis Charles Wang Jonathan Viventi Hui Fang Thayer School of Engineering Dartmouth CollegeHanoverNH 03755USA Department of Biomedical Engineering Duke UniversityDurhamNC 27708USA Department of Electrical and Computer Engineering Northeastern UniversityBostonMA 02115USA

Techniques to study brain activities have evolved dramatically,yet tremendous challenges remain in acquiring high-throughput electrophysiological recordings minimally ***,we develop an integrated neuroelectronic array that is filamentary,highdensity and ***,with a design of single-transistor multiplexing and current sensing,the total 256 neuroelectrodes achieve only a 2.3×0.3mm^(2)area,unprecedentedly on a flexible substrate.A single-transistor multiplexing acquisition circuit further reduces noise from the electrodes,decreases the footprint of each pixel,and potentially increases the device’s *** filamentary neuroelectronic array also integrates with a rollable contact pad design,allowing the device to be injected through a syringe,enabling potential minimally invasive array *** acute auditory experiments in rats validate the ability of the array to record neural signals with high tone decoding ***,these results establish soft,high-density neuroelectronic arrays as promising devices for neuroscience research and clinical applications.

关键词： electronic high Together

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3D Printed Low Profile Strip-Based Helical Antenna

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Progress In Electromagnetics Research C 2022年 127卷 195-205页

作者： Ghosh, Purno Harackiewicz, Frances J. School of Electrical Computer and Biomedical Engineering Southern Illinois University CarbondaleIL United States

A copper strip and conductive paint-based low profile stripped helical antenna for circular polarization over wide axial-ratio (AR) bandwidth are presented. Impacts of strip widths and geometric parameters of the helix on antenna performance (impedance bandwidth, reflection coefficient, AR, gain) are analyzed thoroughly. In terms of performance parameters, the proposed design is also compared with traditional designs of wire and strip-based helical antennas. Proper impedance matching in the proposed design is achieved by the non-conformal placement of the strip. For easing the fabrication complexity, the antenna is again simulated with a dielectric-based supportive structure, and the impact of this additional support is discussed. The antenna is then constructed on a 3D printed polylactic acid (PLA) based structure. Finally, the 1.3-turn strip-based helical antenna with a radius of 18 mm provided impedance and 3-dB AR bandwidths of 99% and 82.52%, respectively. The maximum gain of 9.40 dBi was found at 2.05 GHz in 3-dB AR bandwidth. The height of the presented antenna is 0.35 λ0, where λ0 is the free space wavelength at the frequency of 2.65 GHz. Low profile and wide AR bandwidth facilitate the use of this antenna in space communication. © 2022, Electromagnetics Academy. All rights reserved.

关键词： Helical antennas

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Fractal Dimension Analysis Demonstrates Overestimation and Underestimation of Time in EEG Signal 1

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13th National Technical Symposium on Unmanned System Technology, NUSYS 2023

作者： Azari, Maryam Mollazadeh Sarbaz, Yashar Koohestani, Behrooz Farzamnia, Ali Modeling Biological System’s Laboratory Department of Biomedical Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Faculty of Engineering Universiti Malaysia Sabah Sabah Kota Kinabalu Malaysia School of Computing and Engineering University of Huddersfield Huddersfield United Kingdom

ISBN: (数字)9789819720279

ISBN: (纸本)9789819720262

Keeping track of time is regarded as an essential human behavior. The question of how the brain deals with temporal information remains a subject of scholarly debate. The current investigation aims to explore the mechanism underlying time perception by extracting fractal dimension from an electroencephalogram (EEG) signal and its frequency bands. To accomplish this, Higuchi’s fractal dimension was calculated for 42 healthy subjects’ electroencephalogram (EEG) signal and its sub-bands during the time perception task. The EEG signal was recorded from 19 channels. Subsequently, a statistical analysis was conducted to compare participants who underestimated versus those who overestimated the elapsed time and significantly different channels were presented. The findings suggest an elevated level of fractal dimensionality in persons who displayed a tendency to overestimate time. The EEG signal and Gamma rhythm emerged as the most distinguishing signals between the two cohorts. The contrast in fractal dimension between the two groups was predominantly apparent in the parietal and central channels. To summarize, an increased level of complexity is discernible in the EEG signal and high-frequency rhythms when there is an overestimation of temporal duration. It can be asserted that the employment of FD yields presents an exceptional approach to comprehending cerebral functionalities, notably temporal perception. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electroencephalography

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Three-dimensional ultrasound subwavelength arbitrary focusing with broadband sparse metalens

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Science China(Physics,Mechanics & Astronomy) 2022年第2期65卷 50-56页

作者： Xue Jiang JiaJie He ChuanXin Zhang HuaLiang Zhao WeiQi Wang DeAn Ta Cheng-Wei Qiu Center for Biomedical Engineering School of Information Science and TechnologyFudan UniversityShanghai 200433China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore

Ultrasound focusing in three-dimensional(3 D)space is of crucial and enduring significance in a variety of biomedical and industrial *** ultrasound focusing based on active phase array or passive geometry of bulky size is unable to realize the 3 D arbitrary focusing with subwavelength *** metamaterial of complex deep-subwavelength microstructure has facilitated the advanced airborne-sound-focusing but is inevitably not applicable for underwater ultrasound,restricted by the law between the multi-modes coupling/thermal viscosity and the feature size of the ***,we aim to circumvent the restriction by increasing the feature size of the metamaterial while keeping the compact overall geometry,and realize the robust subwavelength ultrasound focusing with the sparse metalens of the wavelength-scale *** theoretically propose and demonstrate numerically and experimentally the broadband arbitrary ultrasound focusing in 3 D *** axial and off-axis ultrasound focusing with the subwavelength resolution(FWHM<0.58λ)are achieved by the spatially sparse and compact metalens within one-octave *** advantages of 3 D freewheeling focusing,subwavelength resolution,spatial sparsity,geometric simplicity,and broadband,the sparse metalens would offer more initiatives to advanced researches in ultrasound focusing and empower applications such as precise biomedical imaging and therapy,nondestructive evaluation,integrated and multiplexed ultrasound devices.

关键词： broadband ultrasound focusing sparse metalens subwavelength resolution three-dimensional focusing

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Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems 63

Reinforcement Learning-based Receding Horizon Control using ...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Sabouni, Ehsan Sabbir Ahmad, H.M. Giammarino, Vittorio Cassandras, Christos G. Paschalidis, Ioannis Ch. Li, Wenchao Boston University Division of Systems Engineering BostonMA02215 United States Boston University Department of Electrical and Computer Engineering The Division of Systems Engineering BostonMA02215 United States Boston University Department of Electrical and Computer Engineering Division of Systems Engineering Department of Biomedical Engineering BostonMA02215 United States

ISBN: (纸本)9798350316339

Optimal control methods provide solutions to safety-critical problems but easily become intractable. Control Barrier Functions (CBFs) have emerged as a popular technique that facilitates their solution by provably guaranteeing safety, through their forward invariance property, at the expense of some performance loss. This approach involves defining a performance objective alongside CBF-based safety constraints that must always be enforced with both performance and solution feasibility significantly impacted by two key factors: (i) the selection of the cost function and associated parameters, and (ii) the calibration of parameters within the CBF-based constraints, which capture the trade-off between performance and conservativeness. To address these challenges, we propose a Reinforcement Learning (RL)-based Receding Horizon Control (RHC) approach leveraging Model Predictive Control (MPC) with CBFs (MPC-CBF). In particular, we parameterize our controller and use bilevel optimization, where RL is used to learn the optimal parameters while MPC computes the optimal control input. We validate our method by applying it to the challenging automated merging control problem for Connected and Automated Vehicles (CAVs) at conflicting roadways. Results demonstrate improved performance and a significant reduction in the number of infeasible cases compared to traditional heuristic approaches used for tuning CBF-based controllers, showcasing the effectiveness of the proposed method. In order to guarantee reproducibility, our code is provided here: ***/EhsanSabouni/CDC2024_RL_adpative_MPC_CBF/tree/main © 2024 IEEE.

关键词： Adaptive control systems

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Automatic Voice Classification of Autistic Subjects 18th

Automatic Voice Classification of Autistic Subjects

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18th EAI International Conference on Body Area Networks, BODYNETS 2024

作者： Vacca, Jessica Brondino, Natascia Dell’Acqua, Fabio Vizziello, Anna Savazzi, Pietro Department of Electrical Computer Biomedical Engineering University of Pavia Pavia Italy Department of Brain and Behavioral Sciences University of Pavia Pavia Italy Department of Electrical Computer Biomedical Engineering University of Pavia & CNIT Consorzio Nazionale Interuniversitario per le Telecomunicazioni Pavia Italy

ISBN: (纸本)9783031725234

Autism Spectrum Disorders (ASD) describe a heterogeneous set of conditions classified as neurodevelopmental disorders. Although the mechanisms underlying ASD are not yet fully understood, more recent literature focused on multiple genetics and/or environmental risk factors. Heterogeneity of symptoms, especially in milder forms of this condition, could be a challenge for the clinician. In this work, an automatic speech classification algorithm is proposed to characterize the prosodic elements that best distinguish autism, to support the traditional diagnosis. The performance of the proposed algorithm is evaluted by testing the classification algorithms on a dataset composed of recorded speeches, collected among both autustic and non autistic subjects. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Diseases

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Compton Camera for 3D SPECT Imaging 15

Compton Camera for 3D SPECT Imaging

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15th SPIE Conference on Developments in X-Ray Tomography

作者： Liang, Yuxuan Li, Mengzhou Han, Shuo Yu, Hengyong Wang, Ge Department of Biomedical Engineering Rensselaer Polytechnic Institute 12180 United States Department of Electrical and Computer Engineering University of Massachusetts Lowell01854 United States

ISBN: (纸本)9781510679641

Single photon emission computed tomography (SPECT) is commonly used with radioiodine scintigraphy to evaluate patients with multiple diseases such as thyroid cancer. The clinical gamma camera for SPECT contains a mechanical collimator that greatly compromises dose efficiency and limits diagnostic performance. The Compton camera is emerging as a promising alternative for mapping the distribution of radio-pharmaceuticals in the thyroid, since the Compton camera does not require mechanical collimation and in principle does not reject gamma ray photons. In this study, a high-efficiency tomographic imaging system is designed with a Compton camera for thyroid cancer imaging. A Timepix3-based Compton camera is selected for collecting gamma photons emitted from an I-131 phantom, and the backprojection filtration algorithm is applied for image reconstruction. The results demonstrate the feasibility of the Compton camera for high efficiency SPECT imaging and also the limitations that need further efforts to address. © 2024 SPIE.

关键词： Single photon emission computed tomography

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