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The applied principles of EEG analysis methods in neuroscience and clinical neurology

Military Medical Research 2024年第6期11卷 907-941页

作者： Hao Zhang Qing-Qi Zhou He Chen Xiao-Qing Hu Wei-Guang Li Yang Bai Jun-Xia Han Yao Wang Zhen-Hu Liang Dan Chen Feng-Yu Cong Jia-Qing Yan Xiao-Li Li School of Systems Science Beijing Normal UniversityBeijing 100875China College of Electrical and Control Engineering North China University of TechnologyBeijing 100041China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China Department of Psychology the State Key Laboratory of Brain and Cognitive Sciencesthe University of Hong KongHong Kong SAR 999077China HKU-Shenzhen Institute of Research and Innovation Shenzhen 518057GuangdongChina Department of Health Technology and Informatics the Hong Kong Polytechnic UniversityHong Kong SAR 999077China Department of Rehabilitation Medicine the First Afliated Hospital of Nanchang UniversityNanchang 330006China Rehabilitation Medicine Clinical Research Center of Jiangxi Province Nanchang 330006China Beijing Key Laboratory of Learning and Cognition School of PsychologyCapital Normal UniversityBeijing 100048China School of Communication Science Beijing Language and Culture UniversityBeijing 100083China Institute of Electrical Engineering Yanshan UniversityQinhuangdao 066004HebeiChina School of Computer Science Wuhan UniversityWuhan 430072China School of Biomedical Engineering Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalian 116081LiaoningChina Guangdong Artifcial Intelligence and Digital Economy Laboratory(Guangzhou) Guangzhou 510335China.

Electroencephalography(EEG)is a non-invasive measurement method for brain *** to its safety,high resolution,and hypersensitivity to dynamic changes in brain neural signals,EEG has aroused much interest in scientific research and medical *** article reviews the types of EEG signals,multiple EEG signal analysis methods,and the application of relevant methods in the neuroscience feld and for diagnosing neurological ***,3 types of EEG signals,including time-invariant EEG,accurate event-related EEG,and random event-related EEG,are ***,5 main directions for the methods of EEG analysis,including power spectrum analysis,time-frequency analysis,connectivity analysis,source localization methods,and machine learning methods,are described in the main section,along with diferent sub-methods and effect evaluations for solving the same ***,the application scenarios of different EEG analysis methods are emphasized,and the advantages and disadvantages of similar methods are *** article is expected to assist researchers in selecting suitable EEG analysis methods based on their research objectives,provide references for subsequent research,and summarize current issues and prospects for the future.

关键词： Electroencephalogram analysis methods Applied principles Neuroscience Diagnosis Neurological diseases

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On a vectorized basic linear algebra package for prototyping codes in MATLAB

arXiv

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arXiv 2024年

作者： Moskovka, Alexej Rahman, Talal Valdman, Jan Vatne, Jon Eivind Department of Mathematics Faculty of Applied Sciences University of West Bohemia Technická 8 Pilsen30100 Czech Republic Faculty of Engineering and Science Western Norway University of Applied Sciences Inndalsveien 28 Bergen5063 Norway Department of Computer Science Faculty of Science University of South Bohemia Branišovská 31 Č. Budějovice37005 Czech Republic Department of Economics BI Norwegian Business School Kong Christian Frederiks plass 5 Bergen5006 Norway The Czech Academy of Sciences Institute of Information Theory and Automation Pod Vodárenskou věží 4 Prague18208 Czech Republic

When writing a high-performance code for numerical computation in a scripting language like MATLAB, it is crucial to have the operations in a large for-loop vectorized. If not, the code becomes too slow to be of any use, even for a moderately large problem. However, in the process of vectorizing, it often happens that the code loses its original structure and becomes less readable. This is particularly true in the case of a finite element implementation, even though finite element methods are inherently structured. A basic remedy to this is the separation of the vectorization part from the mathematics part in the code, which is easily achieved through building the code on top of the basic linear algebra subprograms that are already vectorized codes, an idea which has been used in a series of papers over the last fifteen years, developing codes that are fast and still structured and readable. We discuss the vectorized basic linear algebra package, and introduce a formalism using multi-linear algebra to explain and define formally the functions in the package, as well as MATLAB’s pagetime functions. We provide examples from computations of varying complexity, including the computation of normal vectors, volumes, and finite element methods. Benchmarking shows that we also get fast computations. Using the library, we can write codes that closely follow our mathematical thinking, making it easier to write, follow, reuse, and extend the code. © 2024, CC BY.

关键词： MATLAB

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Bebop 2 Quadrotor as a Platform for Research and Education in Robotics and Control Engineering

Bebop 2 Quadrotor as a Platform for Research and Education i...

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Wojciech Giernacki Piotr Kozierski Jacek Michalski Marek Retinger Rafal Madonski Pascual Campoy Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering of Poznan University of Technology Poznań Poland Institute of Computing Science (Faculty of Computing and Telecommunications) and with the Institute of Robotics and Machine Intelligence (Faculty of Control Robotics and Electrical Engineering) Poznan University of Technology Poznań Poland International Energy College Energy Electricity Research Center Jinan University Zhuhai China Computer Vision and Aerial Robotics (CVAR) Centre for Automation and Robotics Technical University of Madrid (UPM) Madrid Spain

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use, low-cost micro-class UAVs such as Bebop 2 are successfully used in that regard. This article presents how to use the potential of this flying robot with Robot Operating System (ROS). The most important software solutions for the developed experimental testbed FlyBebop are characterized here. Their capabilities in research and education are exemplified using three distinct cases: 1) research results on the method of optimal, in-flight, iterative self-tuning of UAV position controller parameters (based only on current measurements), 2) the use of the reinforcement learning method in the autonomous landing of a single drone on a moving vehicle, 3) planning the movement of UAVs for autonomous video recording along the planned path in the arrangement: "cameraman drone" and "lighting technician drones".

关键词： Drones Robots Education Cameras Sensors Tools

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Reference Architecture and Agile Development Method for a Process-Driven Web Platform based on the BPMN-Standard and Process Engines

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Procedia CIRP 2021年 103卷 146-151页

作者： Eike Schäffer Marvin Schobert Tobias Reichenstein Andreas Selmaier Volker Stiehl Markus Herhoffer Matus Mala Jörg Franke Institute for Factory Automation and Production Systems Friedrich-Alexander-Universität Erlangen-Nürnberg Egerlandstr. 7 Erlangen 91058 Germany Faculty of Computer Science Ingolstadt University of Technology Esplanade 10 85049 Ingolstadt Germany exentra GmbH Löwenstr. 11 85276 Pfaffenhofen an der Ilm Germany Flowable Germany GmbH Schloßstr. 70 70176 Stuttgart Germany

One of the major trends in the 21st century is the trend towards digital transformation within Industry 4.0. In order to adapt to high volatile market conditions, especially in the context of COVID-19, companies do not only have to transfer their knowledge into digital systems. Furthermore, they have to be able to tailor their business processes rapidly to changing customer’s needs. The implementation of efficient and transparent processes is thereby known as the process of digital transformation and requires its underlying software-architecture to be highly flexible and scalable. Especially a web-based platform represents a highly user-centered application for multi-user purposes and can quickly adapt to its customer needs. While e-commerce and video-streaming platforms, like eBay or Netflix, often already provide a highly flexible, microservice-based architecture, common tools and platforms within the engineering-domain are usually still based on rather monolithic or service-oriented architectures (SOA). Therefore, an adaption to changing market conditions and the integration of proprietary tools is often technically demanding and economically not feasible, especially for small and medium-sized enterprises (SME). In this context, the so-called Process-Driven-Approach (PDA) offers a sustainable and tool-neutral blue-print for a system’s architecture strictly following the separations-of-concerns principle and allowing a user-centered layout. The PDA enables the integration of business processes and tools within an orchestrating framework, provided by a process engine. While the PDA within the engineering domain has been presented in a preceding paper, this paper supposes a reference architecture and agile development method for engineering-platforms via the PDA based on the BPMN-standard and process engines. These concepts are validated by a prototypical implementation of a platform-demonstrator for tool-supported planning of robot-based automation solutions.

关键词： Process-Driven web platform reference architecture ROBOTOP Process-Driven-Approach PDA agile user-centered development method

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Recording Eye-tracking Parameters during a Program Source-code Debugging Example

Recording Eye-tracking Parameters during a Program Source-co...

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International Conference on Cognitive Infocommunications (CogInfoCom)

作者： Jozsef Katona Attila Kovari Ilona Heldal Carsten Helgesen Cristina Costescu Adrian Rosan Andrea Hathazi Serge Thill Robert Demeter CogInfoCom Based LearnAbility Research Team Institute of Computer Engineering University of Dunaujvaros Dunaujvaros Hungary Institute of Engineering University of Dunaujvaros Dunaujvaros Hungary Department of Computing Mathematics and Physics Western Norway University of Applied Sciences Bergen Norway Special Education Department Faculty of Psychology and Educational Sciences Babes- Bolyai University Cluj-Napoca Romania Cognition and Behaviour Radboud University Nijmegen Netherland Department of Automation and Information Technology Faculty of Electrical Engineering and Computer Science Transilvania University of Brasov Brasov Romania

ISBN: (数字)9781728147932

ISBN: (纸本)9781728147949

Recently, researches based on eye-tracking have more often appeared on the field of cognitive studies, education support systems and virtual reality. Eye-tracking based analysis may be useful in IT, particular in algorithm thinking, program code debugging. The purpose of this paper is to introduce the conditions of Gazepoint GP3 device and OGAMA used to record eye-motion parameters and demonstrate the recording process and steps.

关键词： Conferences Testing Software Debugging Education Cognition Three-dimensional displays

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Intermediate Asymptotics for Inhomogeneous Nonlinear Heat Conduction

引用

Journal of Mathematical sciences 2004年第3期120卷 1277-1294页

作者： Galaktionov, V. A. Kamin, S. Kersner, R. Vazquez, J. L. Department of Mathematical Sciences University of Bath Bath UK Keldysh Institute of Applied Mathematics Moscow Russia Raymond and Beverly Sackler Faculty of Exact Sciences School of Mathematical Sciences Tel Aviv University Tel Aviv Israel Computer and Automation Research Institute of the Hungarian Academy of Science H-1518 Budapest Hungary Departamento de Matemáticas Universidad Autónoma de Madrid Madrid Spain

We consider the initial-value problem for a quasilinear heat-conduction or diffusion equation with variable density decreasing at infinity. We show that the asymptotic behavior of the given process is self-similar. Indeed, as t → ∞ the solution of the problem approaches a self-similar solution of a certain singular “limit” equation. The limit solution has compact support for any t > 0 and cusp-type shape at the space origin.

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Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation

arXiv

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arXiv 2023年

作者： Zhang, Zhiqing Fan, Guojia Liu, Tianyong Li, Nan Liu, Yuyang Liu, Ziyu Dong, Canwei Zhou, Shoujun Shenzhen Institute of Advanced Technology University of Chinese Academy of Sciences Shenzhen China Shenzhen China College Of Geosciences Northeast Petroleum University Shenzhen China Department of Computer Science City University of Hong Kong Shenzhen China Shenyang Institute of Automation University of Chinese Academy of Sciences Shenzhen China Faculty of Science and Engineering Chinese Academy of Sciences University of Nottingham Ningbo China Ningbo China

Medical image segmentation is critical for diagnosing and treating spinal disorders. However, the presence of high noise, ambiguity, and uncertainty makes this task highly challenging. Factors such as unclear anatomical boundaries, interclass similarities, and irrational annotations contribute to this challenge. Achieving both accurate and diverse segmentation templates is essential to support radiologists in clinical practice. In recent years, denoising diffusion probabilistic modeling (DDPM) has emerged as a prominent research topic in computer vision. It has demonstrated effectiveness in various vision tasks, including image deblurring, super-resolution, anomaly detection, and even semantic representation generation at the pixel level. Despite the robustness of existing diffusion models in visual generation tasks, they still struggle with discrete masks and their various effects. To address the need for accurate and diverse spine medical image segmentation templates, we propose an end-to-end framework called VerseDiff-UNet, which leverages the denoising diffusion probabilistic model (DDPM). Our approach integrates the diffusion model into a standard U-shaped architecture. At each step, we combine the noise-added image with the labeled mask to guide the diffusion direction accurately towards the target region. Furthermore, to capture specific anatomical a priori information in medical images, we incorporate a shape a priori module. This module efficiently extracts structural semantic information from the input spine images. We evaluate our method on a single dataset of spine images acquired through X-ray imaging. Our results demonstrate that VerseDiff-UNet significantly outperforms other state-of-the-art methods in terms of accuracy while preserving the natural features and variations of anatomy. The generality and validity of our proposed model are confirmed through extensive experiments. By enabling more precise segmentation of anatomical structures, our framewo

关键词： Anomaly detection

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Random asynchronous iterations in distributed coordination algorithms

arXiv

引用

arXiv 2018年

作者： Chen, Yao Xia, Weiguo Cao, Ming Lü, Jinhu Department of Computer Science Southwestern University of Finance and Economics Chengdu611130 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China Faculty of Science and Engineering ENTEG University of Groningen Groningen9747 AG Netherlands School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

Distributed coordination algorithms (DCA) carry out information processing processes among a group of networked agents without centralized information fusion. Though it is well known that DCA characterized by an SIA (stochastic, indecomposable, aperiodic) matrix generate consensus asymptotically via synchronous iterations, the dynamics of DCA with asynchronous iterations have not been studied extensively, especially when viewed as stochastic processes. This paper aims to show that for any given irreducible stochastic matrix, even non-SIA, the corresponding DCA lead to consensus successfully via random asynchronous iterations under a wide range of conditions on the transition probability. Particularly, the transition probability is neither required to be independent and identically distributed, nor characterized by a Markov chain. Copyright © 2018, The Authors. All rights reserved.

关键词： Stochastic systems

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OTHR multitarget tracking with a GMRF model of ionospheric parameters

arXiv

引用

arXiv 2020年

作者： Guo, Zhen Wang, Zengfu Lan, Hua Pan, Quan Lu, Kun School of Automation Northwestern Polytechnical University Xi'an Shaanxi710072 China Key Laboratory of Information Fusion Technology Ministry of Education Xi'an Shaanxi710072 China Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology DelftCD2826 Netherlands Nanjing Research Institute of Electronics Technology Nanjing Jiangsu210039 China

The ionosphere is the propagation medium for radio waves transmitted by an over-The-horizon radar (OTHR). Ionospheric parameters, typically, virtual ionospheric heights (VIHs), are required to perform coordinate registration for OTHR multitarget tracking and localization. The inaccuracy of ionospheric parameters has a significant deleterious effect on the target localization of OTHR. Therefore, to improve the localization accuracy of OTHR, it is important to develop accurate models and estimation methods of ionospheric parameters and the corresponding target tracking algorithms. In this paper, we consider the variation of the ionosphere with location and the spatial correlation of the ionosphere in OTHR target tracking. We use a Gaussian Markov random field (GMRF) to model the VIHs, providing a more accurate representation of the VIHs for OTHR target tracking. Based on expectation-conditional maximization and GMRF modeling of the VIHs, we propose a novel joint optimization solution, called ECM-GMRF, to perform target state estimation, multipath data association and VIHs estimation simultaneously. In ECM-GMRF, the measurements from both ionosondes and OTHR are exploited to estimate the VIHs, leading to a better estimation of the VIHs which improves the accuracy of data association and target state estimation, and vice versa. The simulation indicates the effectiveness of the proposed algorithm. Copyright © 2020, The Authors. All rights reserved.

关键词： Target tracking

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Developing an AI literacy test for junior secondary students: The first stage 11

Developing an AI literacy test for junior secondary students...

引用

11th IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2022

作者： Yau, King Woon Chai, Ching Sing Chiu, Thomas K. F. Meng, Helen King, Irwin Wong, Savio Wai-Ho Saxena, Chandni Yam, Yeung The Chinese University of Hong Kong Shatin Faculty of Engineering Hong Kong Hong Kong The Chinese University of Hong Kong Shatin Department of Curriculum and Instruction Hong Kong Hong Kong The Chinese University of Hong Kong Shatin Department of Systems Engineering and Engineering Management Hong Kong Hong Kong The Chinese University of Hong Kong Shatin Department of Computer Science and Engineering Hong Kong Hong Kong The Chinese University of Hong Kong Shatin Department of Educational Psychology Hong Kong Hong Kong The Chinese University of Hong Kong Shatin Department of Mechanical and Automation Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665491174

Artificial Intelligence (AI) education for K-12 is increasingly important as the emerging AI technologies are pervasively infused into human daily lives. Eleven countries have endorsed and implemented the AI curricula at K-12 levels [1]. The "Five Big Ideas"about AI, as proposed by the Association for the Advancement of Artificial Intelligence (AAAI) and the computer science Teacher Association (CSTA) have emerged to form the core components of K-12 AI education [2], [3]. However, the assessment of students' learning in AI education for K-12 is still in its initial stage. Surveys and interviews are the major assessing tools based on students' self- perceptions. Standardized tests on students' AI literacy are still rare. This paper focuses on the first stage of an AI literacy test based on the Five Big Ideas for Grade 7 to Grade 9 students. The test aims to measure the changes of students' AI literacy before and after attending a one-year AI course. The preliminary findings show the students have increased in their AI literacy after attending the course. The test can provide insights for understanding students' competencies and needs in AI literacy and improving the curriculum guidelines for students' effective learning. © 2022 IEEE.

关键词： Artificial intelligence

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