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Neural Network Algorithm Based on LVQ for Myocardial Infarction Detection and Localization Using Multi-Lead ECG Data

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Computers, Materials & Continua 2025年第3期82卷 5257-5284页

作者： Kassymbek Ozhikenov Zhadyra Alimbayeva Chingiz Alimbayev Aiman Ozhikenova Yeldos Altay Department of Robotics and Engineering Tools of Automation Satbayev UniversityAlmaty050010Kazakhstan Joldasbekov Institute of Mechanics and Engineering Almaty050010Kazakhstan

Myocardial infarction(MI)is one of the leading causes of death globally among cardiovascular diseases,necessitating modern and accurate diagnostics for cardiac patient *** the available functional diagnostic methods,electrocardiography(ECG)is particularly well-known for its ability to detect ***,confirming its accuracy—particularly in identifying the localization of myocardial damage—often presents challenges in *** study,therefore,proposes a new approach based on machine learning models for the analysis of 12-lead ECG data to accurately identify the localization of *** particular,the learning vector quantization(LVQ)algorithm was applied,considering the contribution of each ECG lead in the 12-channel system,which obtained an accuracy of 87%in localizing damaged *** developed model was tested on verified data from the PTB database,including 445 ECG recordings from both healthy individuals and MI-diagnosed *** results demonstrated that the 12-lead ECG system allows for a comprehensive understanding of cardiac activities in myocardial infarction patients,serving as an essential tool for the diagnosis of myocardial conditions and localizing their damage.A comprehensive comparison was performed,including CNN,SVM,and Logistic Regression,to evaluate the proposed LVQ *** results demonstrate that the LVQ model achieves competitive performance in diagnostic tasks while maintaining computational efficiency,making it suitable for resource-constrained *** study also applies a carefully designed data pre-processing flow,including class balancing and noise removal,which improves the reliability and reproducibility of the *** aspects highlight the potential application of the LVQ model in cardiac diagnostics,opening up prospects for its use along with more complex neural network architectures.

关键词： Electrocardiography 12-lead electrocardiogram myocardial infarction heart disease learning vector quantization algorithm machine learning

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Stiffness and Vibration Resistance Analysis of Isotropic Stewart Platform (ISP) and Common Stewart Platform (CSP) 23

Stiffness and Vibration Resistance Analysis of Isotropic Ste...

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23rd International Conference on Control, automation and Systems, ICCAS 2023

作者： Tileukulova, Aisulu Rakhmetova, Perizat Yeshmukhametov, Azamat Koganezawa, Koichi Al-Farabi Kazakh National University Department of Physics and Technology Almaty Kazakhstan Nazarbayev University Department of Robotics Engineering Astana Kazakhstan Satbayev University Department of Robotics and Engineering Tools of Automation Almaty Kazakhstan School of Engineering and Digital Sciences Nazarbayev University Department of Robotics Engineering Astana Kazakhstan Tokai University Department of Mechanical Engineering Japan

ISBN: (纸本)9788993215274

Parallel manipulators found wide applications in the industry such as entertainment, heavy, and aerospace industries. However, the contemporary growth of the economy and industry demands additional and exceptional capabilities for robots. Parallel manipulator applications in the industry are pretty specific and complex rather than serial manipulators. Therefore in this research, we proposed an isotropic Stewart parallel manipulator to enhance robot stiffness and payload capacity capabilities. Moreover, proves the concept by experimental methods. The main contribution of this paper is to rely on robot design, joint positions, and comparison of experimental results to prove the concept idea. The research paper is organized in the following order: introduction, design concept, joint positions and simulation, experimental results, and conclusion. © 2023 ICROS.

关键词： Stiffness

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Robot device for ankle joint rehabilitation: A review 55

Robot device for ankle joint rehabilitation: A review

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55th International Conference on Vibroengineering

作者： Zhetenbayev, Nursultan Zhauyt, Algazy Balbayev, Gani Shingissov, Beibit Department of Robotics and Engineering Tools of Automation Satbayev University Almaty050013 Kazakhstan Department of Electronics and Robotics Almaty University of Power Engineering and Telecommunications Almaty050013 Kazakhstan Academy of Logistics and Transport Almaty050012 Kazakhstan Space Engineering and Technology Almaty University of Power Engineering and Telecommunications Almaty050013 Kazakhstan

The purpose of this review document is to summarize the latest developments and research in the field of robotics related to the field of ankle joint rehabilitation, review new results, and determine the actual state of the art. The literature search was carried out using scientific and medical databases and other websites related to robots used in the field of ankle rehabilitation, analyzing research from the 1950s to the present. © 2022 JVE International. All rights reserved.

关键词： Machine design

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Stiffness and Vibration Resistance Analysis of Isotropic Stewart Platform (ISP) and Common Stewart Platform (CSP)

Stiffness and Vibration Resistance Analysis of Isotropic Ste...

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International Conference on Control, automation and Systems ( ICCAS)

作者： Aisulu Tileukulova Perizat Rakhmetova Azamat Yeshmukhametov Koichi Koganezawa Department of Physics and Technology Al-Farabi Kazakh National University Almaty Kazakhstan Department of Robotics Engineering Nazarbayev University Astana Kazakhstan Department of Robotics and Engineering Tools of Automation Satbayev University Almaty Kazakhstan Department of Robotics Engineering School of Engineering and Digital Sciences Nazarbayev University Astana Kazakhstan Department of Mechanical Engineering Tokai University Japan

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Robot control as a service - Towards cloud-based motion planning and control for industrial robots 10

Robot control as a service - Towards cloud-based motion plan...

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10th International Workshop on Robot Motion and Control, RoMoCo 2015

作者： Vick, Axel Vonásek, Vojtěch Pěnička, Robert Krüger, Jörg Department of Industrial Automation Technology Institute for Machine Tools and Factory Management Technische Universität Berlin Pascalstr. 8-9 Berlin10587 Germany Czech Technical University in Prague Faculty of Electrical Engineering Technicka 2 Prague16627 Czech Republic Department of Robotics and Automation Fraunhofer Institute for Production Systems and Design Technology IPK Pascalstr. 8-9 Berlin10587 Germany

ISBN: (纸本)9781479970438

This paper introduces a new concept for flexible motion planning and control of industrial robots. Instead of a closed monolithic architecture, an open service-based framework is proposed. The services can be run hardware-independent on a decentralized IT infrastructure (Cloud) allowing a fast reconfiguration of control modules and their multiple usage in different tasks. The services can be run on a dedicated PC or on individual virtual machines inside a single computing cluster. The proposed service-based framework was implemented and tested for the motion planning of a robotic manipulator. Effects on control performance, availability and scalability are investigated and documented. © 2015 IEEE.

关键词： Motion planning

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Influence of engagement parameters on estimation of tangential cutting force using high-frequency process data of the machine tool 16

Influence of engagement parameters on estimation of tangenti...

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16th CIRP Conference on Intelligent Computation in Manufacturing engineering, CIRP ICME 2022

作者： Rytir, Michal Rönnecke, Jonas Hänel, Albrecht Kolar, Petr Ihlenfeldt, Steffen Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Department of Industrial Production and Automation Jugoslávských partyzánu 1580/3 Prague160 00 Czech Republic Fraunhofer Institute for Machine Tools and Forming Technology IWU Department of Production Digital Twin Nöthnitzer Straße 44 Dresden Germany Technische Universität Dresden Institute of Mechatronic Engineering Chair of Machine Tools Development and Adaptive Controls Dresden01062 Germany

The machining of high-value products needs advanced quality control to avoid the risk of expensive follow-up operations performed on parts with unacceptable quality. This situation requires the in-process or close to in-process control of the machining operation. The tangential cutting force is a parameter that characterizes the force interaction between the specific workpiece material and the specific tool geometry. This paper presents a method for a tangential cutting force calculation along the given tool path based on processing of the high-frequency data acquired from the machine tool control system with support of the geometric material removal model. The calculated data are compared with the reference dynamometer results. The influence of the variable engagement parameters is demonstrated and discussed from the perspective of the in-process workpiece quality control. © 2023 Elsevier B.V.. All rights reserved.

关键词： Machine tools

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Influence of engagement parameters on estimation of tangential cutting force using high-frequency process data of the machine tool

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Procedia CIRP 2023年 118卷 537-542页

作者： Michal Rytir Jonas Rönnecke Albrecht Hänel Petr Kolar Steffen Ihlenfeldt Czech Technical University in Prague Czech Institute of Informatics Robotics and Cybernetics Department of Industrial Production and Automation Jugoslávských partyzánů 1580/3 160 00 Prague Czech Republic Fraunhofer Institute for Machine Tools and Forming Technology IWU Department of Production Digital Twin Nöthnitzer Straße 44 Dresden Germany Technische Universität Dresden Institute of Mechatronic Engineering Chair of Machine Tools Development and Adaptive Controls 01062 Dresden Germany

关键词： In-process monitoring leakage model cutting force model spindle current edge computing

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DECOMPOSITION OF INDUSTRIAL SYSTEMS FOR ENERGY EFFICIENCY OPTIMIZATION WITH OPTTOPO

arXiv

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arXiv 2022年

作者： Thiele, Gregor Johanni, Theresa Sommer, David Krüger, Jörg Department for Process Automation and Robotics Fraunhofer Institute for Production Systems and Design Technology IPK Germany Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin Germany Weierstrass Institute for Applied Analysis and Stochastics Berlin Germany Institute for Machine Tools and Factory Management Technical University of Berlin Berlin Germany

The operation of industrial facilities is a broad field for optimization. Industrial plants are often a) composed of several components, b) linked using network technology, c) physically interconnected and d) complex regarding the effect of set-points and operating points in every entity. This leads to the possibility of overall optimization but also to a high complexity of the emerging optimization problems. The decomposition of complex systems allows the modeling of individual models which can be structured according to the physical topology. A method for energy performance indicators (EnPI) helps to formulate an optimization problem. The optimization algorithm OptTopo achieves efficient set-points by traversing a graph representation of the overall system. © 2022, CC BY.

关键词： Optimization

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PROGRAMS project approach to maintenance management

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IFAC-PapersOnLine 2020年第3期53卷 313-318页

作者： M. Surico R. Ricatto A. Merlo I. Németh A. Sardelis M. Villoslada E. Montejo N. Frenkel P. Aivaliotis I.M. de la Pera Celada J. Sidiropoulos A. Eytan A. Papavasileiou F. Aggogeri FIDIA S.p.A. Corso Lombardia 11 San Mauro Torinese Italy CeSI Centro Studi Industriali via Tintoretto 10 Cologno Monzese (MI) 20093 Italy Department of Manufacturing Science and Engineering Budapest University of Technology and Economics 1111 Budapest Műegyetem rkp. 3 Hungary CASP S.A. 64 Michalakopoulou str Athens 11528 Greece Savvy Data Systems S.L. San Sebastian Gipuzkoa 20018 Spain Ideko S.Coop Arriaga Kalea 2 20870 Elgoibar Gipuzkoa Spain Laboratory for Machine Tools and Production Engineering (WZL) Campus-Boulevard 30 52074 Aachen Germany Laboratory for Manufacturing Systems & Automation University of Patras Rion Patras 26504 Greece Aurrenak S. Coop Bitorialanda Kalea 15 01010 Vitoria-Gasteiz Araba Spagna Grobotics Gizelis Robotics Kormatzini Area Schimatari Viotias 32009 Greece We Plus S.p.A Strada Torino 43 10043 Orbassano (TO) Italy Calpak-Cicero Hellas S.A. 9 Sygrou Ave. 11743 Athens Greece Department of Mechanical and Industrial Engineering University of Brescia via Branze 38 25123 Brescia Italy

Maintenance management is a vital part of the business of a production company. It contributes to determining the long-term success of the company because poorly maintained resources can stop production activities, causing delays, loss of profit and even personal injuries. While the predictive maintenance approach is nowadays a mainstay of modern factory management, usually only big companies with dedicated research department can deploy it, since its application involves scientific knowledge that is not available in smaller production environments. This paper describes how the EU project PROGRAMS answers the needs of small and medium companies that wish to apply an Industrial Internet of Things (IIoT) approach to maintenance management.

关键词： Maintenance engineering Preventive maintenance Decision support systems Optimization problems Sensors systems

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