检索结果-内蒙古大学图书馆

16th International Joint Conference on biomedical engineering Systems and Technologies, BIOSTEC 2023

作者： Bellazzi, Riccardo Department of Electrical Computer and Biomedical Engineering University of Pavia IRCCS ICS Maugeri Pavia Italy

The increasing success of application of machine and deep learning in many areas of medicine, in particular in imaging diagnostics (Rajpurkar et al., 2020), is pushing towards the implementation of AI-based approaches to extract knowledge from health records data (EHR) (Li et al., 2020). The potential of sophisticated strategies to derive regularities from very large collection of textual data, such as language models, is also generating strong expectations about the capability of extracting information unstructured textual notes as well as in generating biomedical texts (Segura-Bedmar et al., 2022;Luo et al., 2022). The COVID-19 pandemics, being one of the most relevant healthcare challenges synchronously happened worldwide, has represented a strong push towards the timely use of EHR data to characterize the clinical course of the COVID-19 disease. Successful examples are represented by cooperative international efforts, such as the Consortium for Clinical Characterization of COVID-19 by EHR (4CE) initiative (Brat et al., 2020). However, EHR data are particularly complex, due to their multifaceted nature and inherent relationship with the health care organizations generating the data. In a recent paper, Kohane and colleagues summarizing the experience carried on in leading 4CE have identified six main challenges that have proven to be crucial for running EHR-based projects (Kohane et al., 2021): i) data completeness, ii) data collection and handling, iii) data type, iv) robustness of methods against EHR variability (within and across institutions, countries, and time), v) transparency of data and analytic code, and vi) the need of multidisciplinary approach. Those topics, in the context of structured EHR data, have been recently further systematized by a consensus paper by the European Society of Cardiology and the BigData(S?Heart consortium that has defined the CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical re

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

Deep Learning of Biomechanical Dynamics With Spatial Variability for Lifestyle Management 4

Deep Learning of Biomechanical Dynamics With Spatial Variabi...

引用

4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022

作者： Gangadharan, Kiirthanaa Zhang, Qingxue Purdue School of Engineering and Technology Department of Electrical and Computer Engineering IndianapolisIN United States Purdue School of Engineering and Technology Department of Electrical and Computer Engineering Department of Biomedical Engineering IndianapolisIN United States

ISBN: (纸本)9781665419048

Human Physical Activity Detection (PAD) is essential for advanced lifestyle management. Nowadays, many devices like smartwatches and phones have motion sensors. And the placement of devices, especially phones, is diverse. Understanding the optimal sensor location is important for robust PAD applications. However, the biomechanical dynamics are highly complex, making signal processing very challenging. In this study, we propose to leverage deep learning to perform intelligent PAD, and comprehensively compare seven different body locations for optimal sensor placement recommendation. Multi-stage deep learning has been proposed and developed, which firstly leverages convolutional layers to abstract spatial features from the motion data, and then generates the physical activity type prediction with fully connected layers. Evaluated on the real-world database, the proposed deep learning model is very effective on PAD tasks, and successfully determines the thigh location as the optimal sensor placement method. This study will greatly advance deep learning-driven biomechanical dynamics mining for advanced lifestyle management. © 2022 IEEE.

关键词： Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

A cadaveric breast cancer tissue phantom for phase-contrast X-ray imaging applications

引用

Animal Models and Experimental Medicine 2023年第5期6卷 427-432页

作者： Cody C.Rounds Chengyue Li Wei Zhou Kenneth M.Tichauer Jovan G.Brankov Biomedical Engineering Illinois Institute of TechnologyChicagoIllinoisUSA Medical Imaging Research Center Illinois Institute of TechnologyChicagoIllinoisUSA Electrical and Computer Engineering Illinois Institute of TechnologyChicagoIllinoisUSA

Background:As mammography X-ray imaging technologies advance and provide elevated contrast in soft tissues,a need has developed for reliable imaging phantoms for use in system design and component *** advanced imaging modalities such as refraction-based methods,it is critical that developed phantoms capture the biological details seen in clinical precancerous and cancerous cases while minimizing artifacts that may be caused due to phantom *** work presents the fabrication of a breast tissue imaging phantom from cadaveric breast tissue suitable for use in both transmission and refraction-enhanced imaging ***:Human cancer cell tumors were grown orthotopically in nude athymic mice and implanted into the fixed tissue while maintaining the native tumor/adipose tissue ***:The resulting human–murine tissue hybrid phantom was mounted on a clear acrylic housing for absorption and refraction X-ray *** breast tomosynthesis was also ***:Both attenuation-based imaging and refraction-based imaging of the phantom are presented to confirm the suitability of this phantom's use in both imaging modalities.

关键词： breast tumors digital mammography imaging phantoms orthotopic animal models phasecontrast X-ray imaging

来源：评论

学校读者我要写书评

暂无评论

The comparison of EEG features in specific Mandarin words' speech

The comparison of EEG features in specific Mandarin words' s...

引用

2023 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2023

作者： Tsai, Wen-Shan Huang, Syue-Guan Huang, Kuan-Chih Chen, Jung-Chih Lin, Chin-Teng National Yang Ming Chiao Tung University Institute of Biomedical Engineering College of Electrical and Computer Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Brain Science and Technology Center College of Electrical and Computer Engineering Hsinchu300093 Taiwan Faculty of Engineering and Information Technology UltimoNSW2007 Australia

ISBN: (纸本)9798350305791

Due to advancements in brain signal application technology, there has been a growing focus on the human speech Brain-computer Interface (BCI) in recent years. An essential initial phase in crafting speech recognition systems is comprehending the inherent features of nature speech processing. To ensure the decoding capability of human speech BCI, researchers have to investigate the differences between overt speech and imagined speech, and they also need to find the best paradigm to build a reliable BCI. Thus, this study compared the differences in brain dynamics between overt speech and imagined speech while using the four Mandarin words ""(up), ""(down), ""(left), and ""(right). We first calculated the EEG alpha and beta band power for multiple channels situated in the regions of Broca's and Wernicke's areas (specifically F5, F7, FC3, FC5, and C5), to analyze the brain activity changes while speaking or imagining speech. Second, we used Daubechies 4 (db4) wavelet to do a 7-level decomposition to the EEG signal. The corresponding discrete wavelet transform (DWT) coefficients were further calculated with six statistical features for support vector machine (SVM) classification. We found that the "speak (overt speech)"task and the "imagine (imagined speech)"task resulted in significantly different alpha band power changes, and the beta band shows the same phenomenon. The result of average classification accuracy is 71.97% for "speak"and "imagine"distinction. In conclusion, we analyzed the brain dynamics and find that overt speech and imagined speech could be differentiate through DWT coefficients features. This may pave the way to establish a Mandarin imagined speech BCI. © 2023 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Iterative Water-Filling Power and Subcarrier Allocation for Multicarrier NOMA Downlink 48

Iterative Water-Filling Power and Subcarrier Allocation for ...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Choy Chai, Chin Zhang, Xiao-Ping Department of Electrical Computer and Biomedical Engineering TorontoONM5B 2K3 Canada

ISBN: (纸本)9781728163277

Novel closed form formulae of iterative optimal power control and allocation, and criterion for optimal subcarrier allocation are derived for downlink of multicarrier non-orthogonal multiple access (MC-NOMA) systems. For the first time, we present closed form water-filling formulae that quantify exactly the following effects of multiple access interference for optimal power allocation of MC-NOMA downlink: (i) Each user should take into account the sum of interference from other stronger users plus the receiver Gaussian noise as an equivalent interference in each subcarrier;(ii) The sum of each user's interference to other weaker users should be accounted as factors which determine the distinct water levels in each subcarrier of each of the other weaker users. We also propose novel iterative water-filling algorithm and projected conjugate gradient algorithm that facilitate iterative computation of optimal power allocation for MC-NOMA downlink. © 2023 IEEE.

关键词： Water levels

来源：评论

学校读者我要写书评

暂无评论

A Robust Finite Time Longitudinal Speed Control for a Catenary-based Electric Vehicle 63

A Robust Finite Time Longitudinal Speed Control for a Catena...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Rinaldi, Gianmario Ferrara, Antonella Menon, Prathyush P University of Exeter Faculty of Environment Science and Economy Department of Engineering EX4 4QF United Kingdom University of Pavia Computer and Biomedical Engineering Department of Electrical Pavia Italy

ISBN: (纸本)9798350316339

The electrification of the transportation sector plays a crucial role in reducing the global carbon footprint. Among the various solutions, catenary-based electric vehicles have attracted a great deal of interest from researchers and practitioners. This article considers a vehicle powered by a battery energy storage system (BESS) and a catenary system and proposes a robust finite-time longitudinal speed control strategy. Drawing inspiration from the Second-Order Sliding Mode (2-SOSM) methodology, the approach ensures that the control input remains within the limits set by the maximum torque of the motor. The strategy demonstrates robustness against uncertainties and disturbances, eliminating the need to know the model parameters. The simulation case study considers the effects of real road data, including slope variations, on power management. A comparative analysis with the conventional Proportional Integral (PI) method highlights the superior performance of the proposed strategy. © 2024 IEEE.

关键词： Carbon footprint

来源：评论

学校读者我要写书评

暂无评论

Finite-Control-Set Model Predictive Control with Reduced Computational Burden in Cascaded H-Bridge Permanent Magnet Synchronous Motor Drives for EV Applications

Finite-Control-Set Model Predictive Control with Reduced Com...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Gemma, Filippo Riccio, Jacopo Tresca, Giulia Volpini, Andrea Zanchetta, Pericle University of Pavia Electrical Computer and Biomedical Engineering Dept Pavia Italy University of Nottingham Power Electronics Machines and Control Group Nottingham United Kingdom

ISBN: (纸本)9798350376067

This article introduces an enhanced Finite-Control-Set Model Predictive Control (FCS-MPC) for Permanent Magnet Synchronous Motor (PMSM) drives powered by Multi-level Cascaded H-Bridge (CHB) inverters. The work focuses on reducing the algorithm computational complexity for torque control operations, ensuring State of Charge (SOC) balancing and reduced switching losses. The innovation lies in the utilization of adaptive Look-up Tables (LUTs) and an ad hoc objective function. Simulation results are provided to confirm the effectiveness of the proposed control approach in achieving accurate drive control with reduced switching frequency and enhanced SOC management. Additionally, the computational overhead of the proposed approach was measured on the target control platform to validate the reduction in computing complexity. © 2024 IEEE.

关键词： Table lookup

来源：评论

学校读者我要写书评

暂无评论

Quizzing the Quizzes: Improving Cancer Risk Factor Analysis Quizzes 24

Quizzing the Quizzes: Improving Cancer Risk Factor Analysis ...

引用

24th International Conference on Control Systems and computer Science, CSCS 2023

作者： Vlach, Jared Dascalu, Sergiu Shen, Yantao Park, Jeongwon University of Nevada Reno Department of Biomedical Engineering Reno United States University of Nevada Reno Department of Computer Science and Engineering Reno United States University of Nevada Reno Department of Electrical and Biomedical Engineering Reno United States

ISBN: (纸本)9798350313390

This user study addresses the characteristics of breast cancer risk factor analysis quizzes in order to understand the correlation between completion time, question clarity, and user satisfaction. The user study was conducted with 10 participants to understand what users find preferable in their overall experience with cancer risk factor analysis tools. Three risk factor analysis tools (one of them created by us) were compared in terms of completion time, completion time per question, questions asked to the coordinator, and preferred tool and/or features preferred. Results showed that shorter completion time is not necessarily preferred by users but understanding and clarity of questions enabled users to complete the questionnaires with less confusion. However, results were inconclusive regarding completion time per question as the tools had similar results and, perhaps surprisingly, the most preferred tool was the one with the longest average completion time per question. © 2023 IEEE.

关键词： Factor analysis

来源：评论

学校读者我要写书评

暂无评论

Impact of network architecture and training strategy for photon counting CT data correction 15

Impact of network architecture and training strategy for pho...

引用

15th SPIE Conference on Developments in X-Ray Tomography

作者： Morovati, Bahareh Li, Mengzhou Han, Shuo Xu, Yongshun Zhou, Li Wang, Ge Yu, Hengyong Dept. of Electrical and Computer Engineering University of Massachusetts Lowell LowellMA01854 United States Dept. of Biomedical Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

ISBN: (纸本)9781510679641

In recent years, X-ray photon-counting detectors (PCDs) have become increasingly popular due to their ability to discriminate energy and low noise levels. However, technical issues (e.g., charge splitting and pulse pileup effects) can affect the data quality by distorting the energy spectrum. To address those issues, based on a deep neural network-based approach using a Wasserstein generative adversarial network (WGAN) framework for PCD data correction, we evaluate the effectiveness of pre-trained and training-from-scratch convolutional neural networks (CNNs) as perceptual loss functions to address charge splitting and pulse pileup correction challenges in photon counting computed tomography (CT) data. Different CNN architectures, including VGG11, VGG13, VGG16, VGG19, ResNet50, and Xception, are evaluated. Compared with the method using a pre-trained network, our findings indicate that training the CNNs from scratch on our dataset produces better results. It significantly affects the performance for the choice of CNN architecture as a perceptual loss in the WGAN framework. Furthermore, because recent explosive interest on transformers has suggested their potential to be useful for computer vision tasks, we also evaluate transformers to maximize the attribute-related information contained in the image feature by texture features extraction. Our study emphasizes the importance of selecting appropriate network architecture and training strategy when implementing the WGAN framework for photon counting CT data correction. © 2024 SPIE.

关键词： Photons

来源：评论

学校读者我要写书评

暂无评论

SpikeNAS-Bench: Benchmarking NAS Algorithms for Spiking Neural Network Architecture

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2025年第6期6卷 1614-1625页

作者： Sun, Gengchen Liu, Zhengkun Gan, Lin Su, Hang Li, Ting Zhao, Wenfeng Sun, Biao Tianjin University School of Electrical and Information Engineering Tianjin300072 China Northwestern Polytechnical University School of Automation Xi’an710072 China Politecnico di Milano Department of Electronics Information and Bioengineering Milan20133 Italy Institute of Biomedical Engineering Chinese Academy of Medical Science & Pecking Union Medical College Tianjin300020 China Binghamton University State University of New York Department of Electrical and Computer Engineering BinghamtonNY13850 United States

In recent years, neural architecture search (NAS) has marked significant advancements, yet its efficacy is marred by the dependence on substantial computational resources. To mitigate this, the development of NAS benchmarks has emerged, offering datasets that enumerate all potential network architectures and their performances within a predefined search space. Nonetheless, these benchmarks predominantly focus on convolutional architectures, which are criticized for their limited interpretability and suboptimal hardware efficiency. Recognizing the untapped potential of spiking neural networks (SNNs)—often hailed as the third generation of neural networks due to their biological realism and computational thrift—this study introduces SpikeNAS-Bench. As a pioneering benchmark for SNN, SpikeNAS-Bench utilizes a cell-based search space, integrating leaky integrate-and-fire neurons with variable thresholds as candidate operations. It encompasses 15 625 candidate architectures, rigorously evaluated on CIFAR10, CIFAR100, and Tiny-ImageNet datasets. This article delves into the architectural nuances of SpikeNAS-Bench, leveraging various criteria to underscore the benchmark's utility and presenting insights that could steer future NAS algorithm designs. Moreover, we assess the benchmark's consistency through three distinct proxy types: zero-cost-based, early-stop-based, and predictor-based proxies. Additionally, the article benchmarks seven contemporary NAS algorithms to attest to SpikeNAS-Bench's broad applicability. We commit to providing training logs, diagnostic data for all candidate architectures, and we promise to release all code and datasets postacceptance, aiming to catalyze further exploration and innovation within the SNN domain. © 2020 IEEE.

关键词： HTTP

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：