检索结果-内蒙古大学图书馆

Service-Oriented Medical Device Connectivity: Particular Interoperability Standards for High Frequency Surgical Equipment and External Control Devices

Service-Oriented Medical Device Connectivity: Particular Int...

引用

作者： Kasparick, Martin Köny, Marcus Andersen, Björn Riech, Kathrin Keller, Anton Kämmer, Sven Guth, Andreas Mündermann, Lars Stickel, Axel Klöckner, Stephan Golatowski, Frank Timmermann, Dirk Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany Steute Technologies GmbH and Co. KG Löhne Germany Drägerwerk AG and Co. KGaA Lübeck Germany Institute of Medical Informatics University of Lübeck Lübeck Germany Aesculap AG Tuttlingen Germany BOWA-electronic GmbH and Co. KG Gomaringen Germany Erbe Elektromedizin GmbH Tübingen Germany Karl Storz SE and Co. KG Tuttlingen Germany Olympus Winter and Ibe GmbH Hamburg Germany Institute of Applied Microelectronics and CE University of Rostock Germany

Manufacturer-independent medical device interoperability has been strongly demanded by the clinicians and healthcare delivery organizations (HDOs), however has not been achieved in practice for decades. The ISO/IEEE 11073 Service-oriented Device Connectivity (SDC) family of standards constitutes a paradigm shift. This work supplements SDC with Device Specializations (DevSpecs) or Modular Specifications (ModSpecs): particular interoperability standards for high frequency (HF) surgical equipment and external control devices, such as foot or finger switches. They provide models to describe these devices in a service-oriented medical device system and modes of interaction with other network participants. Additionally, we contribute to the ISO/IEEE 11073-10101 nomenclature standard to provide semantic descriptions of the exchanged information. This is a key enabler for safe and effective medical device interoperability to support the caregivers and improve patient safety as well as clinical outcome. © 2021 by Walter de Gruyter Berlin/Boston.

关键词： Interoperability

来源：评论

学校读者我要写书评

暂无评论

Edge AI-Based Dynamic Treatment Strategy Generation Model for Consumer Healthcare Technology

引用

IEEE Transactions on Consumer Electronics 2024年

作者： Byeon, Haewon Alsaadi, Mahmood Quraishi, Aadam Shabaz, Mohammad Ahanger, Tariq Ahamed Keshta, Ismail Saidova, Feruza Soni, Mukesh Karumuri, Srinivasa Rao Inje University Department of AI and Software Gimhae50834 Korea Republic of Al-Maarif University College Department of computer science Al Anbar31001 Iraq Intervention Treatment Institute M.D. Research HoustonTX United States Model Institute of Engineering and Technology J and K Jammu India CoBA Prince Sattam Bin Abdulaziz University Department of Management Information Systems Saudi Arabia AlMaarefa University College of Applied Sciences Computer Science and Information Systems Department Riyadh Saudi Arabia Tashkent State University of Economics Department of Foreign languages Tashkent Uzbekistan Lovely Professional University Division of Research and Development Phagwara India VLSI-Microelectronics Lab Department of Electronics and Communication Engineering Andhra Pradesh Vaddeswaram Guntur522302 India

Edge AI-based reinforcement learning is less reliant on mathematical models and relies on experience to help with the design and optimization of Consumer Technology models, making it ideal for learning dynamic treatment techniques. However, the current research still has the following problems: 1. The optimality of the learned strategy is considered without taking risks into account, leading to strategies with certain risks. 2. The issue of distribution shift is ignored, resulting in learned strategies that are completely different from those of doctors. 3. The patient's historical observational data and treatments are ignored, making it difficult to accurately assess the patient's state, which in turn leads to the inability to learn the optimal strategy. Based on this, we propose the DOSAC-DTR dynamic treatment strategy model, which integrates Dead-ends and offline monitoring into the Actor-Critic framework. First, we consider the risk of treatment actions recommended by the learned strategy and incorporate the concept of Dead-ends into the Actor-Critic framework. Second, to mitigate the distribution shift problem, we integrate physician monitoring into the Actor-Critic framework. This approach achieves better performance, resulting in lower estimated mortality rates and higher Jaccard index scores. © 1975-2011 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Large Spin-Orbit-Torque Efficiency and Room-Temperature Magnetization Switching in SrIrO3/Co-Fe-B Heterostructures

引用

Physical Review applied 2023年第2期19卷 024076-024076页

作者： Peng Li Sanyum Channa Xiang Li Laith Alahmed Chunli Tang Di Yi Lauren Riddiford Jacob Wisser Purnima P. Balakrishnan Xin Yu Zheng Di Lu Arturas Vailionis Shan X. Wang Yuri Suzuki Geballe Laboratory for Advanced Materials Stanford University Stanford California 94305 USA Department of Physics Stanford University Stanford California 94305 USA Department of Electrical Engineering Stanford University Stanford California 94305 USA Department of Electrical and Computer Engineering Auburn University Auburn AL 36849 USA Department of Applied Physics Stanford University Stanford California 94305 USA School of Microelectronics University of Science and Technology of China Hefei 230052 China Stanford Nano Shared Facilities Stanford University Stanford California 94305 USA Department of Physics Kaunas University of Technology Kaunas Lithuania

Spin-orbit-torque (SOT) switching is a potentially energy-efficient mechanism by which electrical current can control magnetization. We demonstrate room-temperature SOT switching in nanometer-thick CoFeB/SrIrO3 bilayers despite the amorphous nature of CoFeB and the interface. This behavior is attributed to the large spin Hall angle in SrIrO3 as well as high spin transmission at the interface that contribute to the SOT efficiency ξSOT. Our bilayers exhibit large ξSOT of up to 1.4 and effective spin Hall conductivity of 0.9×105 (ℏ/2e)Ω−1m−1. In our bilayers, we observe unidirectional magnetoresistance and current-induced magnetization switching with a low critical current density of 1.38×1010A/m2 at room temperature. Our results are promising for heterostructures combining technologically relevant CoFeB with high spin-orbit-coupling oxides.

关键词： Magnetization switching Magnetoresistance Spin current Spin-orbit torque Devices for digital logic, storage & processing Ferromagnets Magnetic multilayers Transition metal oxides

来源：评论

学校读者我要写书评

暂无评论

Acceleration of a CNN-based Heart Sound Segmenter: Implementation on Different Platforms Targeting a Wearable Device

Acceleration of a CNN-based Heart Sound Segmenter: Implement...

引用

Euromicro Symposium on Digital System Design

作者： Domenico Ragusa Antonio J. Rodriguez-Almeida Stephan Nolting Emanuele Torti Himar Fabelo Ingo Hoyer Alexander Utz Gustavo M. Callico Francesco Leporati Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Institute for Applied Microelectronics (IUMA) University of Las Palmas de Gran Canaria Las Palmas de G.C. Spain Smart Sensor Systemes Fraunhofer IMS Duisburg Germany Fundacion Canaria Instituto de Investigacion Sanitaria de Canarias Las Palmas de G.C. Spain

Cardiovascular diseases (CVDs) are currently one of the leading causes of death worldwide. Being able to detect their symptoms at early stages, even the most hidden ones, is crucial to shorten the diagnosis time and facilitate an early treatment. Currently, the use of continuous tracking systems, mainly based on wearable devices that analyze data using artificial intelligence (AI) algorithms, is being explored to automatically identify, in real time, CVDs symptoms. This could be especially relevant in lowincome countries where there is a shortage of specialized doctors. Therefore, this work focuses on analyzing the real-time execution of the state-of-the-art convolutional neural network (CNN) for heart sound segmentation (HSS) on platforms such as traditional CPU/GPU and the Fraunhofer IMS © AIRISC Core Complex (a RISC-V processor developed for AI). Results revealed that, while all implementations exploiting the CPU/GPU platform proved to be useful in real-time diagnosis from a fixed location, the AIRISC demonstrated its goodness, as a system on a chip (SoC) for a real-time wearable application, when executing a quantized version of the CNN.

关键词：

来源：评论

学校读者我要写书评

暂无评论

FPGA Design of Digital Circuits for Phonocardiogram Pre-Processing Enabling Real-Time and Low-Power AI Processing

FPGA Design of Digital Circuits for Phonocardiogram Pre-Proc...

引用

Euromicro Symposium on Digital System Design

作者： Domenico Ragusa Antonio J. Rodriguez-Almeida Marco Gazzoni Emanuele Torti Elisa Marenzi Himar Fabelo Gustavo M. Callico Francesco Leporati Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Institutc for Applied Microelectronics (IUMA) University of Las Palmas de Gran Canaria Las Palmas de G.C. Spain Fundación Canaria Instituto de Investigación Sanitaria de Canaria Las Palmas de G.C. Spain Research Unit Hospital Universitario de Gran Canaria Dr. Negrin Las Palmas de Gran Canaria Spain

ISBN: (数字)9798350380385

ISBN: (纸本)9798350380392

Cardiovascular Diseases (CVDs) stand as the leading cause of mortality worldwide. Detecting subtle heart sounds alterations in the early stages of CVDs can be crucial for an initial effective treatment. Accordingly, the analysis of Phonocardiograms (PCGs) through segmentation could be helpful for CVDs screening. A well-established algorithm for this task is based on a Convolutional Neural Network (CNN) with an encoding-decoding topology. Prior to the CNN processing., a computationally intensive input pre-processing., based on envelopes extraction, is needed. Thus., achieving real-time performance can be challenging. The main goal of this study is the hardware design., implementation, and evaluation of four PCG pre-processing circuits to be employed together in the design of a low-power point-of-care device for real-time Artificial Intelligence (AI)-based PCG segmentation. Results have shown that the approximations introduced by the fixed-point format and this innovative architecture have a negligible impact on the AI segmentation quality. Finally, the pre-processing chain is real-time compliant., achieving a maximum latency of 257 ms for an available processing window of 1.28 s., while dissipating only 61 mW of power.

关键词： Point of care Signal processing algorithms Transforms Standardization Real-time systems Topology Convolutional neural networks Artificial intelligence Phonocardiography Digital circuits

来源：评论

学校读者我要写书评

暂无评论

Technology Roadmap for Flexible Sensors

引用

ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

来源：评论

学校读者我要写书评

暂无评论

Modeling Energy Consumption for Task-Offloading Decisions on Mobile and Embedded Devices

Modeling Energy Consumption for Task-Offloading Decisions on...

引用

IEEE Global Conference on Life Sciences and Technologies (LifeTech)

作者： Christoph Niemann Christian Ewert Henning Puttnies Michael Rethfeldt Dirk Timmermann Peter Danielis Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany Department of Computer Science University of Rostock Rostock Germany

ISBN: (数字)9781728170633

ISBN: (纸本)9781728170640

Connected mobile and embedded devices including tablets, smartphones, and smartwatches but also IoT sensors and actuators as well as medical implants are subject to a rapid development in terms of their numbers and computing power. However, these devices have energy limitations, e.g., due to limited energy supplies. In order for networked devices to be able to manage their energy, they can offload tasks to other devices. However, they need to estimate the energy demand to execute the tasks in order to take offloading decisions. This paper proposes energy models for estimating the energy consumption for task processing derived from practical measurements for exemplary tasks. The task-processing energy consumption models are implemented in the OMNeT++ simulator to allow simulative, accurate task-offloading investigations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ILP-Based Routing and Scheduling of Multicast Realtime Traffic in Time-Sensitive Networks

ILP-Based Routing and Scheduling of Multicast Realtime Traff...

引用

IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)

作者： Eike Schweissguth Dirk Timmermann Helge Parzyjegla Peter Danielis Gero Mühl Institute of Applied Microelectronics and Computer Engineering University of Rostock Rostock Germany Institute of Computer Science University of Rostock Rostock Germany

ISBN: (数字)9781728144030

ISBN: (纸本)9781728144047

Future applications of the Industrial Internet of Things will increasingly depend on the timely exchange of information and data. Time-Sensitive Networking, which is currently being standardized, therefore extends switched Ethernet networks by realtime communication capabilities offering deterministic message delays. In its time-triggered communication variant, a network path needs to be planned for each realtime data flow and corresponding transmission time slots have to be reserved on the network links along that path. In this paper, we present the first joint mathematical model for path routing and time slot scheduling that combines multicast support with an individual transmission scheduling on each link along a flow's path. We provide a formalization as an Integer Linear Programming (ILP) problem and discuss several optimizations to significantly reduce the ILP solver's runtime without affecting the solution quality. In a thorough evaluation, we show the applicability of our approach and analyze the effects and trade-offs of different objective functions.

关键词： Routing Schedules Network topology Optimization Runtime Switches Delays

来源：评论

学校读者我要写书评

暂无评论

The construction and characterization of MgO transmission dynodes

arXiv

引用

arXiv 2023年

作者： Chan, H.W. Prodanović, V. Theulings, A.M.M.G. Tao, S. Smedley, J. Hagen, C.W. Sarro, P.M. Graaf, H.V.D. Science Park 105 Amsterdam1098 XG Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Department of Microelectronics ECTM Delft University of Technology Feldmannweg 17 Delft2628 CT Netherlands Faculty of Applied Sciences Department of Imaging Physics Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands Department of Applied Physics Eindhoven University of Technology Eindhoven5600 MB Netherlands SLAC National Accelerator Laboratory Stanford University 2575 Sand Hill Road Menlo ParkCA94025 United States

In this work we demonstrate that ultra-thin (5 and 15 nm) MgO transmission dynodes with sufficient high transmission electron yield (TEY) can be constructed. These transmission dynodes act as electron amplification stages in a novel vacuum electron multiplier: the Timed Photon Counter. The ultra-thin membranes with a diameter of 30 µm are arranged in a square 64-by-64-array. The TEY was determined with a scanning electron microscope using primary electrons with primary energies of 0.75 - 5 keV. The method allows a TEY map of the surface to be made while simultaneously imaging the surface. The TEY of individual membranes can be extracted from the TEY map. An averaged maximum TEY of 4.6 ± 0.2 was achieved by using 1.35 keV primary electrons on a TiN/MgO bi-layer membrane with a layer thickness of 2 and 5 nm, respectively. The TiN/MgO membrane with a layer thickness of 2 and 15 nm, respectively, has a maximum TEY of 3.3 ± 0.1 (2.35 keV). Furthermore, the effect of the electric field strength on transmission (secondary) electron emission was investigated by placing the emission surface of a transmission dynode in close proximity to a planar collector. By increasing the electric potential between the transmission dynode and the collector, from -50 V to -100 V, the averaged maximum TEY improved from 4.6 ± 0.2 to 5.0 ± 0.3 at a primary energy of 1.35 keV with an upper limit of 5.5 on one of the membranes. Copyright © 2023, The Authors. All rights reserved.

关键词： Electrons

来源：评论

学校读者我要写书评

暂无评论

A Novel Architecture of a fault-tolerant Memory System based on Missing Data Imputation

A Novel Architecture of a fault-tolerant Memory System based...

引用

IEEE Electron Devices Kolkata Conference (EDKCON)

作者： Sowvik Dey Chandan Chakraborty Sushovon Jana Mihir Kumar Mahata Amiya Karmakar Computer Science & Engineering Maulana Abul Kalam Azad University of Technology West Bengal Haringhata Nadia India Applied Statistics Maulana Abul Kalam Azad University of Technology West Bengal Haringhata Nadia India Microelectronics & VLSI Technology Maulana Abul Kalam Azad University of Technology West Bengal Haringhata Nadia India

ISBN: (纸本)9781665472067

In the modern era of edge computing, each computing device is used as a resource of distributed computing elements as well as distributed storage system. Therefore, every computing device plays a crucial role in a distributed system. A huge amount of data are being collected, processed, and stored at every moment. Different kinds of AI engines are being trained by these data. The consistency of data, that is stored in distributed memories, is essential for the AI engines. The absence of data, due to memory failure, is very much effective for feature extraction. Memory failure may happen due to several causes like struck-at-fault, soft-error, etc. To get consistent data, memories should be fault-tolerant, where memory can work properly in faulty conditions. This can be done either by bypassing or by predicting the data which was stored in a faulty location. In this paper, the design of a novel architecture of memory is proposed which can predict the missing data due to memory failure.

关键词： Fault tolerance Fault tolerant systems Memory architecture Prediction algorithms Feature extraction Artificial intelligence Electron devices

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：