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Pencil-beam scanning catheter for intracoronary optical coherence tomography

Opto-electronic Advances 2022年第3期5卷 69-75页

作者： Jiqiang Kang Rui Zhu Yunxu Sun Jianan Li Kenneth K.Y.Wong School of Electronic and Information Engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China International Graduate School at Shenzhen Tsinghua UniversityShenzhen 518055China Shenzhen Vivolight Medical Device&Technology Co. Ltd.Shenzhen 518055China State Key Laboratory of Transient Optics and Photonics Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’an 710119China Department of Electrical and Electronic Engineering The University of Hong KongPokfulam RoadHong KongChina Advanced Biomedical Instrumentation Centre Hong Kong Science ParkShatinNew TerritoriesHong KongChina

Current gradient-index(GRIN)lens based proximal-driven intracoronary optical coherence tomography(ICOCT)probes consist of a spacer and a GRIN lens with large gradient *** design provides great flexibility to control beam profiles,but the spacer length should be well controlled to obtain desired beam profiles and thus it sets an obstacle in mass catheter ***,although GRIN lens with large gradient constant can provide tight focus spot,it has short depth of focus and fast-expanded beam which leads to poor lateral resolution for deep *** this paper,a type of spacer-removed probe is demonstrated with a small gradient constant GRIN *** design simplifies the fabrica-tion process and is suitable for mass *** output beam of the catheter is a narrow nearly collimated light beam,referred to as pencil beam *** full width at half maximum beam size varies from 35.1μm to 75.3μm in air over 3-mm *** design principles are elaborated with probe/catheter fabrication and performance *** in vivo imaging of the catheter was verified by a clinical ICOCT *** results prove that this novel pencil-beam scanning catheter is potentially a good choice for ICOCT systems.

关键词： optical coherence tomography endoscopic imaging intravascular imaging fiber optics imaging

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CsPbBr3 perovskite quantum-dot paper exhibiting a highest 3 dB bandwidth and realizing a flexible white-light system for visible-light communication

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Photonics Research 2021年第12期9卷 2341-2350页

作者： KONTHOUJAM JAMES SINGH XIAOTONG FAN ANNADA SANKAR SADHU CHUN-HO LIN FANG-JYUN LIOU TINGZHU WU YU-JUNG LU JR-HAU HE ZHONG CHEN TOM WU HAO-CHUNG KUO Department of Photonics&Institute of Electro-Optical Engineering College of Electrical and Computer EngineeringNational Yang Ming Chiao Tung UniversityHsinchu 30010Taiwan International Ph.D.Program in Photonics(UST) College of Electrical and Computer EngineeringNational Yang Ming Chiao Tung UniversityHsinchu 30010Taiwan Department of Electronic Science Fujian Engineering Research Center for Solid-State LightingXiamen UniversityXiamen 361005China School of Materials Science and Engineering University of New South WalesSydneyNSW 2052Australia Research Center for Applied Sciences Academia SinicaTaipei 11529Taiwan Department of Materials Science and Engineering City University of Hong KongKowloon TongHong KongChina

We propose a flexible white-light system for high-speed visible-light communication(VLC)applications,which consists of a semipolar blue InGaN/GaN single-quantum-well micro-light-emitting diode(LED)on a flexible substrate pumping green CsPbBr3 perovskite quantum-dot(PQD)paper in nanostructure form and red CdSe QD *** highest bandwidth for CsPbBr3 PQD paper,229 MHz,is achieved with a blue micro-LED pumping source and a high data transmission rate of 400 Mbps;this is very promising for VLC *** 817 MHz maximum bandwidth and a 1.5 Gbps transmission speed are attained by the proposed semipolar blue *** proposed flexible white light system and the high-bandwidth PQD paper could pave the way for VLC wearable devices.

关键词： pumping communication quantum

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Foldable three dimensional neural electrode arrays for simultaneous brain interfacing of cortical surface and intracortical multilayers

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npj Flexible electronics 2022年第1期6卷 840-853页

作者： Ju Young Lee Sang Hoon Park Yujin Kim Young Uk Cho Jaejin Park Jung-Hoon Hong Kyubeen Kim Jongwoon Shin Jeong Eun Ju In Sik Min Mingyu Sang Hyogeun Shin Ui-Jin Jeong Yuyan Gao Bowen Li Aizhan Zhumbayeva Kyung Yeun Kim Eun-Bin Hong Min-Ho Nam Hojeong Jeon Youngmee Jung Huanyu Cheng Il-Joo Cho Ki Jun Yu School of Electrical and Electronic Engineering Yonsei University50 Yonsei-roSeodaemunguSeoul 03722Republic of Korea Department of Biomedical Sciences College of MedicineKorea UniversitySeoul 02841Republic of Korea Brain Science Institute Korea Institute of Science and Technology(KIST)Seoul 02792Republic of Korea School of Electrical Engineering Korea UniversitySeoul 02841Republic of Korea Department of Engineering Science and Mechanics The Pennsylvania State UniversityUniversity ParkPA 16802USA Center for Biomaterials Biomedical Research InstituteKorea Institute of Science and Technology(KIST)Seoul 02792Republic of Korea Biomaterials Research Center Biomedical Research DivisionKorea Institute of Science and Technology(KIST)Seoul 02792Republic of Korea Department of Mechanical Engineering Seoul National UniversitySeoul 08826Republic of Korea Department of Biotechnology College of Life Science and BiotechnologyYonsei UniversitySeoul 03722Republic of Korea Department of KHU-KIST Convergence Science and Technology Kyung Hee UniversitySeoul 02447Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoul 02841Republic of Korea School of Electrical and Electronic Engineering YU-KIST InstituteYonsei UniversitySeoul 03722Republic of Korea Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPA 16802USA Materials Research Institute The Pennsylvania State UniversityUniversity ParkPA 16802USA Department of Anatomy College of MedicineKorea UniversitySeoul 02841Republic of Korea Department of Electrical and Electronic Engineering YU-Korea Institute of Science and Technology(KIST)InstituteYonsei University50Yonsei-roSeodaemun-guSeoul 03722Korea

Challenges in the understanding of three-dimensional(3D)brain networks by simultaneously recording both surface and intracortical areas of brain signals remain due to the difficulties of constructing mechanical design and spatial limitations of the implanted ***,we present a foldable and flexible 3D neural prosthetic that facilitates the 3D mapping of complex neural circuits with high spatiotemporal dynamics from the intracortical to cortical *** device is the tool to map the 3D neural transmission through sophisticatedly designed four flexible penetrating shanks and surface electrode arrays in one integrated *** demonstrate the potential possibilities of identifying correlations of neural activities from the intracortical area to cortical regions through continuous monitoring of electrophysiological *** also exploited the structural properties of the device to record synchronized signals of single spikes evoked by unidirectional total whisker *** platform offers opportunities to clarify unpredictable 3D neural pathways and provides a next-generation neural interface.

关键词： neural electrode simultaneous

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Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection

Quantum-Trained Convolutional Neural Network for Deepfake Au...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2025

作者： Lin, Chu-Hsuan Abraham Liu, Chen-Yu Chen, Samuel Yen-Chi Chen, Kuan-Cheng London United Kingdom Imperial College London Department of Electrical and Electronic Engineering London United Kingdom National Taiwan University Graduate Institute of Applied Physics Taipei Taiwan Wells Fargo New YorkNY United States

ISBN: (纸本)9798331519315

The rise of deepfake technologies has posed significant challenges to privacy, security, and information integrity, particularly in audio and multimedia content. This paper introduces a Quantum-Trained Convolutional Neural Network (QT-CNN) framework designed to enhance the detection of deepfake audio, leveraging the computational power of quantum machine learning (QML). The QT-CNN employs a hybrid quantum-classical approach, integrating Quantum Neural Networks (QNNs) with classical neural architectures to optimize training efficiency while reducing the number of trainable parameters. Our method incorporates a novel quantum-to-classical parameter mapping that effectively utilizes quantum states to enhance the expressive power of the model, achieving up to 70% parameter reduction compared to classical models without compromising accuracy. Data pre-processing involved extracting essential audio features, label encoding, feature scaling, and constructing sequential datasets for robust model evaluation. Experimental results demonstrate that the QT-CNN achieves comparable performance to traditional CNNs, maintaining high accuracy during training and testing phases across varying configurations of QNN blocks. The QT framework's ability to reduce computational overhead while maintaining performance underscores its potential for real-world applications in deepfake detection and other resource-constrained scenarios. This work highlights the practical benefits of integrating quantum computing into artificial intelligence, offering a scalable and efficient approach to advancing deepfake detection technologies. © 2025 IEEE.

关键词： Qubits

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Semipolar micro-LED for full-color display and visible light communication

Semipolar micro-LED for full-color display and visible light...

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International Conference on Display Technology, ICDT 2021

作者： Lin, Wansheng Huang, Yu-Ming Konthoujam, James Singh Lin, Yue Lu, Yijun Chen, Zhong Wu, Tingzhu Kuo, Hao-Chung School of Electronic Science and Engineering Fujian Engineering Research Center for Solid‐State Lighting Xiamen University Xiamen361005 China Department of Photonics and Graduate Institute of Electro-Optical Engineering College of Electrical and Computer Engineering National Chiao Tung University Hsinchu30010 Taiwan

Micro-LEDs (μ-LEDs) are well known to have a thriving future in the next-generation display field. However, conventional μ-LEDs grown on c-plane GaN have a severe wavelength shift due to the quantum confined Stark effect (QCSE), which seriously affects the color quality of μ-LEDs display. In order to fundamentally solve this problem, we grown blue μ-LED with a 30 μm diameter on the (20-21) semipolar GaN combined with perovskite quantum dots (PQDs) color conversion layer, to achieve high-quality full-color μ-LED, realizing a wide color gamut with 99.2% National Television Standards Committee (NTSC) space and 93.0% Rec. 2020 in the CIE 1931, and the peak wavelength hardly shifts, indicating an excellent inhibitory on QCSE. Meanwhile, the semipolar blue μ-LED excitation light can achieve a wide 3-dB bandwidth of 652 MHz due to the faster carrier recombination rate, making semipolar LEDs more attractive in the high-speed visible light communication (VLC). © 2021, John Wiley and Sons Inc. All rights reserved.

关键词： Perovskite

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Real-time temperature correction for magnetoresistive biosensors integrated with temperature modulator

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Biosensors and Bioelectronics: X 2023年 14卷 100356页

作者： Kim, Songeun Wang, Shan X. Lee, Jung-Rok Division of Mechanical and Biomedical Engineering Ewha Womans University Seoul03760 Korea Republic of Graduate Program in Smart Factory Ewha Womans University Seoul03760 Korea Republic of Department of Materials Science and Engineering Stanford University StanfordCA93405 United States Department of Electrical Engineering Stanford University StanfordCA93405 United States

Magnetoresistance-based biosensors utilize changes in electrical resistance upon varying magnetic fields to measure biological molecules or events involved with magnetic tags. However, electrical resistance fluctuates with temperature. To decouple unwanted temperature-dependent signals from the signal of interest, various methods have been proposed to correct signals from magnetoresistance-based biosensors. Yet, there is still a need for a temperature correction method capable of instantaneously correcting signals from all sensors in an array, as multiple biomarkers need to be detected simultaneously with a group of sensors in a central laboratory or point-of-care setting. Here we report a giant magnetoresistive biosensor system that enables real-time temperature correction for individual sensors using temperature correction coefficients obtained through a temperature sweep generated by an integrated temperature modulator. The algorithm with individual temperature correction coefficients obviously outperformed that using the average temperature correction coefficient. Further, temperature regulation did not eliminate temperature-dependent signals completely. To demonstrate that the method can be used in biomedical applications where large temperature variations are involved, binding kinetics experiments and melting curve analysis were conducted with the temperature correction method. The method successfully removed all temperature-dependent artifacts and thus produced more precise kinetic parameters and melting temperatures of DNA hybrids. © 2023 The Authors

关键词： Kinetics

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Field Implementation of a Plc-Controlled Single-Axis Sun Tracker in Commercial Pv Systems

SSRN

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SSRN 2024年

作者： de Almeida, Eduardo Santos Cupertino, Allan Fagner Mendes, Victor Flores Pereira, Heverton Augusto Souza, Silas Brito, Erick Matheus da Silveira Gusman, Lucas Soares Department of Electrical Energy UFJF MG Juiz de Fora Brazil Department of Electrical Engineering UFMG MG Belo Horizonte Brazil Institute of Exact and Technological Sciences UFV MG Viçosa Florestal Brazil Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 MG Belo Horizonte31270-901 Brazil

Photovoltaic generation emerges as a promising solution in the transition towards more sustainable energy sources. Various configurations of solar power plants, ranging from fixed, single-axis to dual-axis orientations of photovoltaic modules, offer different efficiencies in solar capture. This study aims to introduce a single-axis solar tracker controlled by a programmable Logic Controller (PLC). By applying well-established equations from the literature, the algorithm estimates the daily solar position, adjusting to the specified latitude through a human-machine interface (HMI). The system is further enhanced with sensors to protect its physical structure, including limit switches and wind speed monitors. Beyond the hardware solution, this work also delves into the development of Python algorithms to assess the theoretical ideal performance of photovoltaic plants under various configurations (fixed, single, and dual-axis) and latitudes, and to compare the effectiveness of different solar tracker adjustment methodologies throughout the day. The results suggest that, depending on the axis configuration and latitude, the adoption of tracking systems can increase energy production by 20\% to 35\%. The practical implementation of the proposed tracker, tested over a year in Divinópolis, MG, Brazil, demonstrated an average increase of 25.23\% in energy production, compared to the fixed system, for plants in the range of 100 k$W_p$ capacity. Thus, this research validates the effectiveness of the PLC-controlled single-axis solar tracker in optimizing photovoltaic energy generation and contributes by providing a theoretical comparison between different solar tracking technologies. © 2024, The Authors. All rights reserved.

关键词： programmable logic controllers

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Curriculum-Based Reinforcement Learning for an Effective Multi-Agent Path Planning Algorithm in Warehouse Scenarios

Curriculum-Based Reinforcement Learning for an Effective Mul...

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

作者： Iure Rosa L. De Oliveira Kevin B. De Carvalho Alexandre S. Brandão Graduate Program in Computer Science Universidade Federal de Viçosa Viçosa Brazil Electrical Engineering Department Universidade Federal de Vicosa Viçosa Brazil

Multi-robot systems can provide substantial increase in efficiency and/or flexibility in different scenarios. Applications in various settings have been studied in the literature, such as disaster management, surveillance, object transportation as well as search-and-rescue. A particular case that can highly benefit from the employment of multiple agents is the logistics in a warehouse scenario. This work proposes an multi-agent Q-learning based algorithm with curriculum learning and transfer learning to perform the path planning process. With progressively more complex stages of training as well as knowledge transfer from one stage to another, the algorithm is capable of achieve high success rates. In order to validate the proposed method, simulations were done to compare it to other combinations of the used techniques, as well as using Q-learning only. Scalability tests were also performed. The proposed method achieved up to 94% success rate after training.

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Limitations Of the Derived Respiratory Variation Measurements Used in Functional Magnetic Resonance Imaging

Limitations Of the Derived Respiratory Variation Measurement...

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IEEE International Symposium on Biomedical Imaging

作者： Abdoljalil Addeh Karen Ardila Fernando Vega Ali Golestani M. Ethan MacDonald Department of Biomedical Engineering Department of Electrical & Software Engineering Department of Radiology Hotchkiss Brain Institute University of Calgary Calgary Canada Department of Electronic and Automation Biomedical Engineering Universidad Autónoma de Manizales Manizales Colombia Mitacs Globalink Research Internship Program Canada Department of Medical Physics Alberta Heath Services Canada

Among different physiological sources of noise in blood oxygenation level-dependent functional magnetic resonance imaging (BOLD-fMRI), low-frequency fluctuation in arterial carbon dioxide (CO 2 ) constitutes the strongest modulator of the BOLD signal. In this paper, the performance of respiration variation (RV) and respiratory volume per time (RVT) in identifying abnormal but prominent respiratory patterns are studied. We used Human Connectome Project in the Developmental dataset, as children are a challenging cohort in fMRI studies and have irregular breathing. According to our findings, there is no guarantee that a given respiratory event evident in the abdominal respiratory belt transducer timeseries, such as a deep breath or pause in breathing, will be detectable in both RVT and RV. In addition, RVT and RV do not show similar behavior during some respiratory events, especially when the subject breathes deeply at a low rate, while they use almost similar respiratory response functions.

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Assistive technology with device for self-inflating bag in neonatology

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Research on Biomedical engineering 2025年第2期41卷

作者： Marcelino, Ana Carolina Rodovanski, Giovana Pascoali Bonetti, Karoline Panes, Caio Rabinovich de Almeida Martins, Fernando Moran, Cristiane Aparecida Araranguá Brazil Graduate Program in Neurosciences and Behavior Department of Experimental Psychology of the Institute of Psychology-University of São Paulo Sao Paulo Brazil Araranguá Brazil Computer Engineering Instituto Mauá de Tecnologia São Caetano do Sul Brazil Electronic Engineering and Computing with Emphasis on Electronic Devices and Systems at Instituto Tecnológico de Aeronáutica–ITA São Caetano do Sul Brazil Department of Physiotheraphy and at the Postgraduate Program in Rehabilitation Science of the Federal University of Santa Catarina-UFCS Ararangua Brazil

Purpose: The objectives of this study were to create a device with technological development of the self-inflating bag (SIB) equipment to measure the variables tidal volume, peak inspiratory pressure, and inspiratory flow and to evaluate the knowledge of undergraduate students in handling the SIB. To reduce the risks of mortality, length of hospital stay, and infections, SIB is a resource used to ventilate the patient through the inflation of the device, but it is not capable of measuring the ventilatory parameters. Excess ventilation and incorrect handling of the bag can cause lung injury in newborns. Therefore, measuring these parameters can prevent lung injury resulting from inadequate ventilation. Method: This is a cross-sectional and experimental study, with the development of a device SIB that allows the evaluation of variables of neonatal respiratory mechanics that were tested with an artificial lung. It was approved by the Research Ethics Committee and the research was developed in three stages: the first represents the search for scientific articles for the consensus of neonatal ventilatory variables for the construction of the SIB parameters;the second stage depicts the technological development of a device capable of monitoring such variables through the SIB. In the third stage, the content validation of the device with the handling of the SIB was carried out by students of medicine and physiotherapy courses of Brazil. Results: In this work, a device that analyzes the values of the main ventilatory parameters in neonatology was developed and to generate a safety range for the use of the device, curves with a tolerance of 10% up and down were created. All electronic components were coupled to the equipment, with a display that transmits the parameter values. The web page can be used on a cell phone, tablet, computer, or SmartTv, as long as it is connected to the "RespiratorIoT_AP" network. Among the 29 participants in the study, 8 said they were familiar w

关键词： Students

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