检索结果-内蒙古大学图书馆

CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Liu, Hao Bottrill, Kyle R.H. Vitali, Valerio Demirtzioglou, Iosif Skenderas, Martin Adamu, Nura Lacava, Cosimo Yan, Xingzhao Banakar, Mehdi Tran, Ying Ebert, Martin Le Besque, James LittleJohns, Callum Thomson, David J. Petropoulos, Periklis Optoelectronics Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom Electrical Computer and Biomedical Engineering Department University of Pavia Pavia27100 Italy

We demonstrate a fully-integrated silicon wavelength converter utilizing four-wave mixing, featuring tunable idler filtering with >59 dB out-of-band signal suppression. Conversion of a 32-Gbaud 16-QAM signal with a... 详细信息

ISBN: (纸本)9781957171395

关键词： Four wave mixing

来源：评论

学校读者我要写书评

暂无评论

Wirelessly Enabled Beam Steering MSF Antenna for biomedical Imaging Applications

Wirelessly Enabled Beam Steering MSF Antenna for Biomedical ...

引用

2023 URSI International Symposium on Electromagnetic Theory, EMTS 2023

作者： Bilal, Asif Quddious, Abdul Darvazehban, Amin Rezaeieh, Sasan Ahdi Iezekiel, Stavros Antoniades, Marco A. EMPHASIS Research Centre University of Cyprus Nicosia Cyprus Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus KIOS Research Center for Excellence University of Cyprus Nicosia Cyprus TU Dresden Dresden Germany School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia Department of Electrical Computer & Biomedical Engineering Toronto Metropolitan University TorontoON Canada

ISBN: (纸本)9798350399288

In this work, a wirelessly enabled beam steering metasurface (MSF) antenna for bio-imaging is proposed. The design consists of multiple layers, the top layer consists of an MSF layer, while the bottom layer consists of two layers, one that contains the feeding antennas and the second consists of the feeding network. In the feeding network of the MSF antenna, an RF energy harvesting (EH) system has been incorporated that allows dynamic switching to achieve the desired beam steering required for torso scanning. In the designed EH system, a receiving antenna and rectifying circuit harvests the low power received RF signal at three different frequencies in the 2.4 GHz ISM band. In order to avoid coupling between the EH system and MSF antenna, the former operates in the 2.4 GHz ISM band, while the latter operates in the 900 MHz ISM band. The proposed approach has potential to be used in biomedical imaging applications and to provide an alternative to complex biasing networks required to reconfigure devices. © 2023 IEEE.

关键词： Energy harvesting

来源：评论

学校读者我要写书评

暂无评论

Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals

arXiv

引用

arXiv 2025年

作者： Soleimani, Majid Toosi, Maedeh H. Mohammadi, Siamak Khalaj, Babak Hossein Department of Biomedical Engineering McGill University Montreal Canada School of Electrical and Computer Engineering University of Tehran Iran Electrical Engineering Department Sharif University of Technology Iran

Atrial fibrillation (AF) detection from electrocardiogram (ECG) signals is crucial for early diagnosis and management of cardiovascular diseases. However, deploying robust AF detection models across different datasets with significant domain variations remains a challenge. In this paper, we use test-time data augmentation (TTA) to address the cross-domain problem and enhance AF detection performance. We use a publicly available dataset for training - Physionet Computing in Cardiology Challenge 2017 -, while collecting a distinct test set, creating a cross-domain scenario. We employ a neural network architecture that integrates transformer-based encoding of ECG signals and convolutional layers for spectrogram feature extraction. The model combines the latent representations obtained from both encoders to classify the input signals. By incorporating TTA during inference, we enhance the model’s performance, achieving an F1 score of 76.6% on our test set. Furthermore, our experiments demonstrate that the model becomes more resilient to perturbations in the input signal, enhancing its robustness. We show that TTA can be effective in addressing the cross-domain problem, where training and test data originate from disparate sources. This work contributes to advancing the field of AF detection in real-world scenarios. © 2025, CC BY-NC-SA.

关键词： Cardiology

来源：评论

学校读者我要写书评

暂无评论

Effectiveness of Repetitive Transcranial Magnetic Stimulation Combined with Transspinal electrical Stimulation on Corticospinal Excitability for Individuals with Incomplete Spinal Cord Injury: A Pilot Study

引用

IEEE Transactions on Neural Systems and Rehabilitation engineering 2023年 31卷 4790-4800页

作者： Lin, Bor-Shing Zhang, Zhao Peng, Chih-Wei Chen, Shih-Hsuan Chan, Wing P. Lai, Chien-Hung National Taipei University Department of Computer Science and Information Engineering New Taipei City237303 Taiwan Wuyi University School of Mechanical and Electrical Engineering Fujian Wuyishan354300 China National Taipei University Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science New Taipei City237303 Taiwan Taipei Medical University School of Biomedical Engineering College of Biomedical Engineering Taipei11031 Taiwan Taipei Medical University School of Gerontology and Long-term Care College of Nursing Taipei11031 Taiwan Taipei Medical University School of Medicine College of Medicine Department of Radiology Taipei11031 Taiwan Taipei Medical University Wan Fang Hospital Department of Radiology Taipei11696 Taiwan Taipei Medical University College of Medicine Department of Physical Medicine and Rehabilitation School of Medicine Taipei11031 Taiwan Taipei Medical University Hospital Department of Physical Medicine and Rehabilitation Taipei11031 Taiwan

Repetitive Transcranial Magnetic Stimulation (rTMS) and transspinal electrical stimulation (tsES) have been proposed as a novel neurostimulation modality for individuals with incomplete spinal cord injury (iSCI). In this study, we integrated magnetic and electrical stimulators to provide neuromodulation therapy to individuals with incomplete spinal cord injury (iSCI). We designed a clinical trial comprising an 8-week treatment period and a 4-week treatment-free observation period. Cortical excitability, clinical features, inertial measurement unit and surface electromyography were assessed every 4 weeks. Twelve individuals with iSCI were recruited and randomly divided into a combined therapy group, a magnetic stimulation group, an electrical stimulation group, or a sham stimulation group. The magnetic and electric stimulations provided in this study were intermittent theta-burst stimulation (iTBS) and 2.5-mA direct current (DC) stimulation, respectively. Combined therapy, which involves iTBS and transspinal DC stimulation (tsDCS), was more effective than was iTBS alone or tsDCS alone in terms of increasing corticospinal excitability. In conclusion, the effectiveness of 8-week combined therapy in increasing corticospinal excitability faded 4 weeks after the cessation of treatment. According to the results, combination of iTBS rTMS and tsDCS treatment was more effective than was iTBS rTMS alone or tsDCS alone in enhancing corticospinal excitability. Although promising, the results of this study must be validated by studies with longer interventions and larger sample sizes. © 2001-2011 IEEE.

关键词： Functional electric stimulation

来源：评论

学校读者我要写书评

暂无评论

Transferrin-Mediated Nanophotosensitizer to Enhance Phototherapy with Photoacoustic Imaging Under Hypoxia

引用

CCS Chemistry 2025年第4期7卷 1127-1141页

作者： Mengyao Yang Yunyoung Nah Donghyeon Oh Xingshu Li Heejeong Kim Sinyoung Park Junha Lim Aibing Chen Chulhong Kim Won Jong Kim Juyoung Yoon College of Chemical and Pharmaceutical Engineering Hebei University of Science and TechnologyShijiazhuang 050018 Department of Chemistry and Nanoscience Ewha Womans UniversitySeoul 03760 Department of Chemistry POSTECH-Catholic Biomedical Engineering InstitutePOSTECHPohang 37673 Department of Electrical Engineering Convergence IT EngineeringMechanical Engineeringand Medical Science and EngineeringMedical Device Innovation CenterPOSTECHPohang 37673 Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy College of ChemistryFuzhou UniversityFuzhou 350108 School of Interdisciplinary Bioscience and Bioengineering POSTECHPohang 37673 Graduate Program in Innovative Biomaterials Convergence Ewha Womans UniversitySeoul 03760

Various obstacles[poor tissue penetration,hypoxic tumor microenvironment,and reactive oxygen species(ROS)production quenching due to aggregation]obstruct imaging-guided high-efficiency phototherapy targeting ***,nanophthalocyanine(ZnPcN4-TF)is elaborately designed based on a synthetic phthalocyanine derivative(ZnPcN4)and nonimmunogenic transferrin(TF)through multiple noncovalent interactions for photoacoustic(PA)imaging-guided *** conjugating electron-rich amino groups effectively suppressed fluorescence and ROS generation due to the strong photoinduced electron transfer effect,ZnPcN4 became an ideal photothermal and PA imaging ***4-TF not only effectively targeted tumor sites and accumulated there,but also,surprisingly,facilitated the enhancement of ROS production via a type I process in an aggregate compared to ZnPcN4 itself,potentially due to accelerated electron ***,ZnPcN4-TF had a substantially more powerful photothermal effect than ZnPcN4 ***,this design effectively overcomes the obstacles to photodynamic therapy(aggregation-related ROS generation quenching in a hypoxic environment).Furthermore,PA imaging solves the tissue penetration challenge in optical *** study provides a broader base for designing novel photosensitizers to improve phototherapy under hypoxia.

关键词： photoacoustic imaging type I reactive oxygen species photothermal effect tumor accumulation self-assembly

来源：评论

学校读者我要写书评

暂无评论

Switch mode capacitive pressure sensors

引用

Microsystems & Nanoengineering 2022年第6期8卷 47-60页

作者： Nabil Shalabi Kyle Searles Kenichi Takahata Department of Electrical and Computer Engineering University of British ColumbiaVancouverBC V6T 1Z4Canada School of Biomedical Engineering University of British ColumbiaVancouverBC V6T 1Z3Canada

Switch mode capacitive pressure sensors are proposed as a new class of microfabricated devices that transform pressure into a mechanically switching capacitance to form an analog-to-digital signal with zero power,high sensitivity,and a high signal-to-noise ratio.A pressure-sensitive gold membrane suspended over a capacitive cavity makes ohmic contact with patterned gold leads on the substrate,closing circuits to fixed on-chip capacitors outside the cavity and leading to significant step *** function is achieved by allocating the switch leads on the part of the counter electrode area,while the remaining area is used for touch mode analog capacitive *** sensor microchip is prototyped through a novel design approach to surface micromachining that integrates micro-Tesla valves for vacuum sealing the sensor cavity,showing an unprecedented response to applied *** a gauge pressure range of 0–120 mmHg,the sensor exhibits an increase of 13.21 pF with resultant switch events,each of which ranges from 2.53–3.96 pF every 12–38 mmHg,in addition to the touch mode linear capacitive increase between *** equivalent sensitivity is 80–240 fF/mmHg,which is 11–600×more than commercial and reported touch mode sensors operating in similar pressure *** sensor is further demonstrated for wireless pressure tracking by creating a resonant tank with the sensor,showing a 32.5–101.6 kHz/mmHg sensitivity with frequency jumps led by the switch *** developed sensor,with its promising performance,offers new application opportunities in a variety of device areas,including health care,robotics,industrial control,and environmental monitoring.

关键词： mode cavity sealing

来源：评论

学校读者我要写书评

暂无评论

Prediction of Internet Broadband Connectivity Classification in West Java Indonesia using Machine Learning

Prediction of Internet Broadband Connectivity Classification...

引用

2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Kusuma Atmaja, Wahyu Haris Heryadi, Yaya Sonata, Ilvico Lukas Suparta, Wayan Bina Nusantara University Binus Graduate Program - Computer Science Computer Science Department West Jakarta Indonesia Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Engineering Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350327472

A location's Take-up Rate was significantly influenced by its Internet connectivity and availability. The purpose of this research is to answer concerns about internal Internet Service Provider issues that affect Internet connectivity in clusters of West Java, Indonesia. It also aims to evaluate the results of models that forecast how these internal factors will affect internet connectivity. According to the research findings, the FTTH Cluster has eight significant Internet predictor connectivity out of 18 elements. Activation delay and Administration Documentation of Activation with Connectivity were the two major parameters modeled out of the 18 components. Artificial Neural Network (ANN), Support Vector Machine (SVM), and Decision Tree (DT) models were used to predict Internet Broadband Connectivity Classification based on the two most important variables. According to the study, ANN is the best model, with 99% accuracy and 99.6% precision when compared to SVM and DT. Furthermore, it exceeds previous studies that used the ANN model and achieved 97.92% accuracy. © 2023 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Scar-Aware Late Mechanical Activation Detection Network for Optimal Cardiac Resynchronization Therapy Planning 22

Scar-Aware Late Mechanical Activation Detection Network for ...

引用

22nd IEEE International Symposium on biomedical Imaging, ISBI 2025

作者： Xing, Jiarui Wang, Shuo Petal, Amit R. Bilchick, Kenneth C. Epstein, Frederick H. Zhang, Miaomiao School of Medicine University of Virginia Health System United States University of Virginia Health System Department of Biomedical Engineering United States University of Virginia Department of Electrical and Computer Engineering United States University of Virginia Department of Computer Science United States

ISBN: (纸本)9798331520526

Accurate identification of late mechanical activation (LMA) regions is crucial for optimal cardiac resynchronization therapy (CRT) lead implantation. However, existing approaches using cardiac magnetic resonance (CMR) imaging often over-look myocardial scar information, which may be mistakenly identified as delayed activation regions. To address this issue, we propose a scar-aware LMA detection network that simultaneously detects myocardial scar and prevents LMA localization in these scarred regions. More specifically, our model integrates a pre-trained scar segmentation network using late gadolinium enhancement (LGE) CMRs into a LMA detection network based on highly accurate strain derived from displacement encoding with stimulated echoes (DENSE) CMRs. We introduce a novel scar-aware loss function that utilizes the segmented scar information to discourage false-positive detections of late activated areas. Our model can be trained with or without paired LGE data. During inference, our model does not require the input of LGE images, leveraging learned patterns from strain data alone to mitigate false-positive LMA detection in potential scar regions. We evaluate our model on subjects with and without myocardial scar, demonstrating significantly improved LMA detection accuracy in both scenarios. Our work paves the way for improved CRT planning, potentially leading to better patient outcomes. © 2025 IEEE.

关键词： Cardiac resynchronization therapy

来源：评论

学校读者我要写书评

暂无评论

Fully rubbery synaptic transistors made out of all-organic materials for elastic neurological electronic skin

引用

Nano Research 2022年第2期15卷 758-764页

作者： Hyunseok Shim Seonmin Jang Jae Gyu Jang Zhoulyu Rao Jong-ln Hong Kyoseung Sim Cunjiang Yu Materials Science and Engineering Program University of HoustonHoustonTX 77204 USA Department of Chemistry Seoul National UniversitySeoul 08826Republic of Korea Department of Chemistry Ulsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea Department of Mechanical Engineering University of HoustonHoustonTX 77204 USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204 USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Neurologic function implemented soft organic electronic skin holds promise for wide range of applications,such as skin prosthetics,neurorobot,bioelectronics,human-robotic interaction(HRI),***,we report the development of a fully rubbery synaptic transistor which consists of all-organic materials,which shows unique synaptic characteristics existing in biological *** synaptic characteristics retained even under mechanical stretch by 30%.We further developed a neurological electronic skin in a fully rubbery format based on two mechanoreceptors(for synaptic potentiation or depression)of pressure-sensitive rubber and an all-organic synaptic *** converting tactile signals into Morse Code,potentiation and depression of excitatory postsynaptic current(EPSC)signals allow the neurological electronic skin on a human forearm to communicate with a robotic *** collective studies on the materials,devices,and their characteristics revealed the fundamental aspects and applicability of the all-organic synaptic transistor and the neurological electronic skin.

关键词： synaptic transistor stretchable electronic skin all-organic

来源：评论

学校读者我要写书评

暂无评论

Pivotal Auto-Encoder via Self-Normalizing ReLU

arXiv

引用

arXiv 2024年

作者： Goldenstein, Nelson Sulam, Jeremias Romano, Yaniv Department of Electrical and Computer Engineering The Technion Israel Biomedical Engineering Department The Mathematical Institute for Data Science Johns Hopkins University United States Department of Electrical and Computer Engineering The Department of Computer Science The Technion Israel

Sparse auto-encoders are useful for extracting low-dimensional representations from high-dimensional data. However, their performance degrades sharply when the input noise at test time differs from the noise employed during training. This limitation hinders the applicability of auto-encoders in real-world scenarios where the level of noise in the input is unpredictable. In this paper, we formalize single hidden layer sparse auto-encoders as a transform learning problem. Leveraging the transform modeling interpretation, we propose an optimization problem that leads to a predictive model invariant to the noise level at test time. In other words, the same pre-trained model is able to generalize to different noise levels. The proposed optimization algorithm, derived from the square root lasso, is translated into a new, computationally efficient auto-encoding architecture. After proving that our new method is invariant to the noise level, we evaluate our approach by training networks using the proposed architecture for denoising tasks. Our experimental results demonstrate that the trained models yield a significant improvement in stability against varying types of noise compared to commonly used architectures. Copyright © 2024, The Authors. All rights reserved.

关键词： Optimization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：