Wyniki wyszukiwania dla: robotic rehabilitation, balance training, biomedical electronics, ataxic cerebral palsy - MOST Wiedzy

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Wyniki wyszukiwania dla: robotic rehabilitation, balance training, biomedical electronics, ataxic cerebral palsy

Wyniki wyszukiwania dla: robotic rehabilitation, balance training, biomedical electronics, ataxic cerebral palsy

  • A New Rehabilitation Device for Balance Impaired Individuals

    Publikacja

    - Rok 2019

    In the paper authors present a device designed to improve the rehabilitation process of people with balance impairment. The discussed device (JStep) utilizes a commercially available static standing frame (stander) modified in order to fit force sensing units under the feet and in the pillows around the hips of a patient. While executing rehabilitation tasks, the patient may compensate his balance deficiency by leaning on the pillows...

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  • Design and Evaluation of the Platform for Weight-Shifting Exercises with Compensatory Forces Monitoring

    Details of a platform for the rehabilitation of people with severe balance impairment are discussed in the paper. Based upon a commercially available static parapodium, modified to fit force sensors, this device is designed to give a new, safe tool to physiotherapists. It is designed for the patients who cannot maintain equilibrium during a bipedal stance and need to hold to or lean on something during the rehabilitation. Visual,...

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  • Piotr Jasiński prof. dr hab. inż.

    Piotr Jasinski obtained MSc in electronics in 1992 from the Gdansk University of Technology (GUT), Poland. Working at GUT, he received PhD in 2000 and DSc in 2009. Between 2001 and 2004 Post Doctoral Fellow at Missouri University of Science and Technology, while between 2008 and 2010 an Assistant Research Professor. Currently is an Associate Professor at Gdansk University of Technology working in the field of electronics, biomedical...

  • Mariusz Kaczmarek dr hab. inż.

    Received M.Sc., Eng. in Electronics in 1995 from Gdansk University of Technology, Ph.D. in Medical Electronics in 2003 and habilitation in Biocybernetics and Biomedical Engineering in 2017. He was an investigator in about 13 projects receiving a number of awards, including four best papers, practical innovations (7 medals and awards) and also the Andronicos G. Kantsios Award and Siemens Award. Main research activities: the issues...

  • Basic evaluation of limb exercises based on electromyography and classification methods

    Symptoms caused by cerebral palsy or stroke deprive a person partially or even completely of his ability to move. Nowadays we can observe more technologically advanced rehabilitation devices which incorporate biofeedback into the process of rehabilitation of such people. However, there is still a lack of devices that would analyse, assess, and control (independently or with limited support) specialised movement exercises. Here...

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  • Jerzy Wtorek prof. dr hab. inż.

    Jerzy Wtorek uzyskał tytuł magistra inżyniera w 1976 roku na Wydziale Elektroniki Politechniki Gdańskiej, a stopień doktora nauk technicznych i doktora habilitowanego na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej, odpowiednio w 1986 i 2004 roku. Tytuł profesora uzyskał w 2016 r. Jego zainteresowania dotyczą nieinwazyjnych metod oceny układu krążenia, elektrycznych (aktywnych i pasywnych) właściwości...

  • Upper Limb Bionic Orthoses: General Overview and Forecasting Changes

    Using robotics in modern medicine is slowly becoming a common practice. However, there are still important life science fields which are currently devoid of such advanced technology. A noteworthy example of a life sciences field which would benefit from process automation and advanced robotic technology is rehabilitation of the upper limb with the use of an orthosis. Here, we present the state-of-the-art and prospects for development...

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  • Development and test of fex, a fingers extending exoskeleton for rehabilitation and regaining mobility

    Publikacja

    - International Journal of Mechanics and Control - Rok 2018

    This paper presents the design process of an exoskeleton for executing human fingers' extension movement for the rehabilitation procedures and as an active orthosis purposes, together with its first clinical usability tests of a robotic exoskeleton. Furthermore, the Fingers Extending eXoskeleton (FEX) is a serial, under-actuated mechanism capable of executing fingers' extension. FEX is based on the state-of-art FingerSpine serial...

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  • Bohdan Pakhaliuk PhD student

    Bohdan Pakhaliuk received the B.Sc. and M.Sc. degrees in industrial electonics from Chernihiv National University of Technology, Chernihiv, Ukraine, in 2016 and 2018 respectively. He is PhD student of double postgraduate study, in Gdansk University of Technology and Chernihiv National University of Technology. He is junior researcher of the Department of Biomedical Radioelectronics Apparatus and Systems, Chernihiv National University...

  • Polysaccharide-based electroconductive hydrogels: Structure, properties and biomedical applications

    Publikacja
    • M. Khodadadi Yazdi
    • P. Zarrintaj
    • F. Seidi
    • M. Saeb
    • M. Mozafari

    - CARBOHYDRATE POLYMERS - Rok 2022

    Architecting an appropriate platform for biomedical applications requires setting a balance between simplicity and complexity. Polysaccharides (PSAs) play essential roles in our life in food resources, structural materials, and energy storage capacitors. Moreover, the diversity and abundance of PSAs have made them an indispensable part of food ingredients and cosmetics. PSA-based hydrogels have been extensively reviewed in biomedical...

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  • Biomedical Engineering at Gdansk University of Technology

    Short history of education in Biomedical Engineering at Gdansk University of Technology is presented. The last initiative- implementation of the new programme, Biomedical Engineering - an interfaculty direction of study, supported by a grantfinanced by the European Social Fund is presented. Curricula of four specializations: Chemistry in Medicine, run by the Facultyof Chemistry; Electronics in Medicine and Informatics in Medicine,...

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  • Jacek Rumiński prof. dr hab. inż.

    Wykształcenie i kariera zawodowa 2022 2016   2002   1995   1991-1995 Tytuł profesora Habilitacja   Doktor nauk technicznych   Magister inżynier     Prezydent RP, dziedzina nauk inżynieryjno-technicznych, dyscyplina: inzyniera biomedyczna Politechnika Gdańska, Biocybernetyka i inżyniera biomedyczna, tematyka: „Metody wyodrębniania sygnałów i parametrów z różnomodalnych sekwencji obrazów dla potrzeb diagnostyki i wspomagania...

  • Mykola Lukianov mgr

    Mykola Lukianov received a B.Sc. and M.Sc degree in Electronics and Communications from the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” in 2018 and 2020 respectively. He is currently a PhD student at the Gdansk University of Technology, Poland and a researcher group member in project SMARTGYsum “Research and Training Network for Smart and Green Energy Systems and Business Models”. His research...

  • Wiktoria Wojnicz dr hab. inż.

    DSc in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2019  PhD in Mechanics (in the field of Biomechanics)  - Lodz Univeristy of Technology, 2009 (with distinction)   Lista publikacji (2009 - ) Publikacje z listy MNiSW: Wojnicz W., Wittbrodt E., Analysis of muscles' behaviour. Part I. The computational model of muscle. Acta of Bioengineering and Biomechanics, Vol. 11, No.4, 2009, s. 15-21 Wojnicz...

  • Arm EMG Wavelet-Based Denoising System

    These paper presents research results of muscle EMG signal denoising. In the same time two muscles were examined - an adductor muscle (biceps brachii) and an abductor muscle (tricpeps brachii). The EMG signal was filtered using the wavelet transform technique, having selected the crucial parameters as: wavelet basis function (Daubechies 4), 10 th decomposition level, threshold selection algorithm (Heurestic) and a sln rescaling...

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  • A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System

    Publikacja

    - Electronics - Rok 2021

    Machine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challenging due to difficulty in distinguishing a true CMB from its mimics, however, if successfully solved it would streamline the radiologists work. To deal with this complex three-dimensional...

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  • Magdalena Szuflita-Żurawska

    Magdalena Szuflita-Żurawska jest kierownikiem Sekcji Informacji Naukowo-Technicznej na Politechnice Gdańskiej oraz Liderem Centrum Kompetencji Otwartej Nauki przy Bibliotece Politechniki Gdańskiej. Jej główne zainteresowania badawcze koncentrują się w obszarze komunikacji naukowej oraz otwartych danych badawczych, a także motywacji i produktywności naukowej. Jest odpowiedzialna między innymi za prowadzenie szkoleń dla pracowników...

  • Static Series and Shunt-series PE Voltage-quality Controllers

    Publikacja

    - Rok 2007

    As presented in the Chap. 7 static shunt power electronics (PE) voltage-quality controllers protect the utility electrical system from the unfavorable impact of customer loads. Shunt controllers, as shown in Chap. 6, are recommended mainly for mitigation of the causes of disturbances, and not their effects in distanced nodes of a power-electronics system. In the case when reduction of disturbances effects is required, which leads...

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  • Using Eye-tracking to get information on the skills acquisition by the radiology residents

    This paper describes the possibility of monitoring the progress of knowledge and skills acquisition by the students of radiology. It is achieved by an analysis of a visual attention distribution patterns during image-based tasks solving. The concept is to use the eye-tracking data to recognize the way how the radiographic images are read by recognized experts, radiography residents involved in the training program, and untrained...

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  • Paweł Rościszewski dr inż.

    Osoby

    Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....

  • Aleksander Mroziński dr inż.

    Aleksander Mroziński jest doktorantem na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej. Od czerwca 2019r. został zatrudniony na stanowisku redaktora metadanych w projekcie MOST DANYCH. Ponadto jest uczestnikiem trzech innych projektów realizowanych na Politechnice Gdańskiej: InterPhD II, OPUS 13 oraz PROM. Chęć poznawania świata sprawia, że stara się zdobywać multidyscyplinarną wiedzę oraz umiejętności...

  • Wsparcie rzeczywistości wirtualnej dla projektów realizowanych w ASP w Gdańsku / Virtual reality support for the projects carried out in the AFA in Gdańsk

    Publikacja

    - Rok 2019

    Laboratorium Zanurzonej Wizualizacji Przestrzennej (LZWP) jest unikatowym w skali kraju miejscem, gdzie w grupie kilku osób można wspólnie eksplorować świat iluzji. Na takie doświadczenie pozwalają znajdujące się tam jaskinie rzeczywistości wirtualnej (ang. Cave Automatic Virtual Environment, CAVE) umożliwiające uczestnikom eksperymentu wniknięcie w środowisko zarówno kreowane komputerowo, jak i stanowiące cyfrową kopię realnego...

  • Agnieszka Pastula Dr

    Osoby

    Agnieszka received her masters degree in biology at Jagiellonian University (Poland). Besides standard university classes, she did multiple extracurricular research internships in both basic science and medical life sciences e.g. at Warsaw University, Jagiellonian University College of Medicine, University of Medical Sciences in Poznań and University Medical Center Utrecht, that provided her with excellent interdisciplinary training...

  • Data augmentation for improving deep learning in image classification problem

    Publikacja

    These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...

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  • Reliable data-driven modeling of high-frequency structures by means of nested kriging with enhanced design of experiments

    Data-driven (or approximation) surrogate models have been gaining popularity in many areas of engineering and science, including high-frequency electronics. They are attractive as a way of alleviating the difficulties pertinent to high computational cost of evaluating full-wave electromagnetic (EM) simulation models of microwave, antenna, and integrated photonic components and devices. Carrying out design tasks that involve massive...

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  • Expedited Acquisition of Database Designs for Reduced-Cost Performance-Driven Modeling and Rapid Dimension Scaling of Antenna Structures

    Fast replacement models have been playing an increasing role in high-frequency electronics, including the design of antenna structures. Their role is to improve computational efficiency of the procedures that normally entail large numbers of expensive full-wave electromagnetic (EM) simulations, e.g., parametric optimization or uncertainty quantification. Recently introduced performance-driven modeling methods, such as the nested...

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  • Magnetic Signature Description of Ellipsoid-Shape Vessel Using 3D Multi-Dipole Model Fitted on Cardinal Directions

    Publikacja

    - IEEE Access - Rok 2022

    The article presents a continuation of the research on the 3D multi-dipole model applied to the reproduction of magnetic signatures of ferromagnetic objects. The model structure has been modified to improve its flexibility - model parameters determined by optimization can now be located in the cuboid contour representing the object's hull. To stiffen the model, the training dataset was expanded to data collected from all four cardinal...

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  • Recent advances in high-frequency modeling by means of domain confinement and nested kriging

    Development of modern high-frequency components and circuits is heavily based on full-wave electromagnetic (EM) simulation tools. Some phenomena, although important from the point of view of the system performance, e.g., EM cross-coupling effects, feed radiation in antenna arrays, substrate anisotropy, cannot be adequately accounted for using simpler means such as equivalent network representations. Consequently, the involvement...

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  • Adam Władziński

    Osoby

    Adam Władziński, doktorant na Politechnice Gdańskiej, specjalizuje się w inżynierii biomedycznej, skupiając się na uczeniu maszynowym do przetwarzania obrazów z druku 3D układów pomiarowych i tkanek biologicznych, a także na komercyjnym zastosowaniu technologii blockchain. Posiadając wykształcenie z dziedziny elektroniki na Wydziale Elektroniki, Telekomunikacji i Informatyki (ETI), praca magisterska Adama Władzińskiego koncentrowała...

  • Paweł Możejko dr hab.