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Search results for: struktury ebg

Search results for: struktury ebg

  • ECG-based prediction of ventricular fibrillation by means of the PCA

    Publication

    - Year 2014

    A Sudden Cardiac Death (SCD) is a death resulting from cardiac failure with no significant symptoms earlier than one hour before occurrence. It is the cause of for approximately 400000 deaths per year in United States and millions of deaths worldwide. The proposed system, including two-stage algorithm and wearable diagnostic device allows for SCD risk estimation and continuous monitoring of high risk patients. A single channel...

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  • GROWTH AND STRUCTURAL CHANGES IN TRANSITION COUNTRIES: THE CHICKEN OR THE EGG?

    The objective of this study is to test empirically the relationship between structural changes (changes in gross value added and employment) and economic growth. We used a panel Granger-causality analysis based on annual data for eight transition countries, covering the period 1995–2011. The main finding is that the causality relations analysed are heterogeneous processes and are identified more often...

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  • Transfer learning in imagined speech EEG-based BCIs

    Publication

    - Biomedical Signal Processing and Control - Year 2019

    The Brain–Computer Interfaces (BCI) based on electroencephalograms (EEG) are systems which aim is to provide a communication channel to any person with a computer, initially it was proposed to aid people with disabilities, but actually wider applications have been proposed. These devices allow to send messages or to control devices using the brain signals. There are different neuro-paradigms which evoke brain signals of interest...

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  • EBR - European Biopharmaceutical Review

    Journals

    ISSN: 1369-0663

  • Role of inner-city brownfields in urban development of european cities - example of Gdańsk Music and Congress Centre

    Publication

    Położone w bliskim sąsiedztwie śródmieść tereny poprzemysłowe odgrywają w miastach europejskich ważną rolę w przekształceniach struktur miejskich. Kształtowane na posiadających bardzo silną tożsamość terenach wielofunkcyjne, przestrzenie publiczne przyczyniają się do zatrzymania w centrum miast jego mieszkańców i przeciwdziałają ich ucieczce na obrzeża. Wyżej wspomniane kulturowe i historyczne dziedzictwo, jak i genius loci obecny...

  • Proekologiczny model struktury miasta

    Publication

    - Year 2007

    Współczesne aglomeracje miejskie w ich gwałtownym wzroście rozsadzają wszelkie dotychczas znane człowiekowi skale. Wzrasta też stopień komplikacji systemów osadniczych. Nasza cywilizacja stałą się cywilizacją miejską i to w sposobie zarządzania systemami miejskimi należy upatrywać możliwości większego zrównoważenia przyszłego rozwoju. Artykuł przedstawia koncepcję modelu struktury miasta, pozwalającą na zoptymalizowanie jego funkcjonowania...

  • Struktury wybranych tiosiarczanów amoniowych

    Publication

    Przedstawiono syntezę i struktury rentgenowskie trzech tiosiarczanów amoniowych. Były to: tiosiarczan bis(cykloheksyloamoniowy), dwuwodny tiosiarczan bis(tert-butyloamoniowy) i bis(tiosiarczan) 1,6-heksanodiamoniowo diamonowy. Omówiono układy wiązań wodorowych występujące w powyższych strukturach.

  • Metody badania struktury triacylogliceroli.

    Omówiono strukturę triacylogliceroli oraz liczbę możliwych kombinacji różnych triacylogliceroli w zależności od ilości występujących w nich kwasów tłuszczowych. Przedstawiono różne metody określania rozmieszczenia kwasów tłuszczowych w poszczególnych pozycjach cząsteczek triacylogliceroli. Pokazano metody enzymatyczne z zastosowaniem lipaz regio - i stereospecyficznych oraz metody wykorzystujące wysokosprawną chromatografię cieczową...

  • Klasyfikacja sygnału EKG przy użyciu konwolucyjnych sieci neuronowych

    Automation and improvement of diagnostic process is a vital element of medicine development and patient’s condition self-control. For a long time different ECG signal classification methods exist and are successfully applied, nevertheless their accuracy is not always satisfying enough. The lack of identification of an existing abnormality, which is very similar to a normal heartbeat is the biggest issue - for example premature...

  • Klasyfikacja sygnału EKG przy użyciu konwolucyjnych sieci neuronowych

    Automation and improvement of diagnostic process is a vital element of medicine development and patient’s condition self-control. For a long time different ECG signal classification methods exist and are successfully applied, nevertheless their accuracy is not always satisfying enough. The lack of identification of an existing abnormality, which is very similar to a normal heartbeat is the biggest issue - for example premature...

  • Doubly miniaturized rat-race coupler with periodic pbg structures

    W referacie zaprezentowano projekt oraz wyniki eksperymentu podwójnie zminiaturyzowanego sprzęgacza pierścieniowego. Wstępny stopień miniaturyzacji uzyskano poprzez modyfikację impedancji charakterystycznych oraz długości elektrycznych odpowiednich sekcji linii mikropaskowych, natomiast dodatkową redukcję powierzchni osiągnięto poprzez implementację kaskad komórek PBG w odcinkach linii mikropaskowych. Wyniki eksperymentu potwierdzają...

  • Comparison of Classification Methods for EEG Signals of Real and Imaginary Motion

    Publication

    The classification of EEG signals provides an important element of brain-computer interface (BCI) applications, underlying an efficient interaction between a human and a computer application. The BCI applications can be especially useful for people with disabilities. Numerous experiments aim at recognition of motion intent of left or right hand being useful for locked-in-state or paralyzed subjects in controlling computer applications....

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  • Towards hand grip force assessment by using EMG estimators

    Publication
    • R. Barański
    • W. Wojnicz
    • B. Zagrodny
    • M. Ludwicki
    • A. Sobierajska-Rek

    - MEASUREMENT - Year 2024

    The purpose of this study was to propose a method to assess individual regression (calibration) curves to establish a relationship between an isometric grip force and surface electromyography (EMG) estimator. In this study 18 healthy volunteers (12 male (23.0 ± 2.0 years) and 6 female (23.2 ± 0.7 years)) had been examined. Ten EMG estimators (mean absolute value, root mean square, entropy, energy, turns per second, mean of zero...

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  • Comparison of the effectiveness of automatic EEG signal class separation algorithms

    In this paper, an algorithm for automatic brain activity class identification of EEG (electroencephalographic) signals is presented. EEG signals are gathered from seventeen subjects performing one of the three tasks: resting, watching a music video and playing a simple logic game. The methodology applied consists of several steps, namely: signal acquisition, signal processing utilizing z-score normalization, parametrization and...

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  • Automatic Clustering of EEG-Based Data Associated with Brain Activity

    The aim of this paper is to present a system for automatic assigning electroencephalographic (EEG) signals to appropriate classes associated with brain activity. The EEG signals are acquired from a headset consisting of 14 electrodes placed on skull. Data gathered are first processed by the Independent Component Analysis algorithm to obtain estimates of signals generated by primary sources reflecting the activity of the brain....

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  • Problems in estimation of hand grip force based on EMG signal

    Publication

    - Diagnostyka - Year 2015

    There has recently been a significant increase in the number of publications on and applications of bioelectric signals for diagnostic purposes. While the use of ECG (electrocardiography) is not surprising, the use of signals from registration of brain activity (EEG) and muscles activity (EMG) still finds new applications in various fields. The authors focus on the use of EMG signals for estimating hand grip force. Currently,...

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  • MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG

    Publication
    • A. Kastrau
    • M. Koronowski
    • M. Liksza
    • P. Jasik

    - Year 2021

    This study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...

  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Publication

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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  • Influence of stabilizing osmolytes on hen egg white lysozyme fibrillation

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  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Publication

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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  • KLASYFIKACJA SYGNAŁU EKG PRZY UŻYCIU KONWOLUCYJNYCH SIECI NEURONOWYCH

    Podniesienie jakości i zautomatyzowanie procesu diagnozy jest istotnym elementem rozwoju medycyny i samokontroli stanu zdrowia pacjentów. Od dłuższego czasu istnieją i są stosowane różne metody analizy i klasyfikacji sygnału EKG, jednak nie zawsze ich dokładność jest zadowalająca. Największym problemem jest trudność rozpoznania istniejącej nieprawidłowości, w przypadku gdy jej reprezentacja jest podobna do prawidłowej pracy...

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  • Zastosowanie EMG do analizy wybranych ruchów kończyny górnej

    Celem badań było przeprowadzenie pomiarów sygnału mioelektrycznego czterech mięśni powierzchniowych lewej kończyny górnej, biorących udział w ruchach zginania-prostowania w stawie łokciowym w płaszczyźnie strzałkowej. Rejestrację elektromiogramów (EMG) odprowadzono z: głowy długiej oraz bocznej mięśnia trójgłowego ramienia, głowy długiej mięśnia dwugłowego ramienia i mięśnia ramienno-promieniowego. Wykazano, iż metoda może zostać...

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  • Struktura kwestionariuszy

    Publication

    Projekt MAYDAY realizowany w ramach Inicjatywy Wspólnotowej Equal, ma na celu stworzenie trwałych rozwiązań minimalizujących skutki dyskryminacji pracowników 50+ na rynku pracy ze względu na kwalifikacje niedostosowane do wymagań pracodawców. Badania w projekcie MAYDAY odgrywają kluczowa rolę w osiagnięciu rezultatów. Niniejsze opracowanie stanowi jeden z rozdziału monografii zatytułowanej Metodyka badań 50+ skadającej sie z...

  • JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM

    Journals

    ISSN: 0166-1280

  • Synthesen, Strukturen und Reaktionsverhalten von Metallalkoxiden

    Publication

    - Year 2007

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  • Molecular structures of two E-azobenzocrown ethers

    Publication

    - JOURNAL OF MOLECULAR STRUCTURE - Year 2008

    Rentgenowska analiza strukturalna monokryształów posłużyła do scharakteryzowania struktury izomerów E dwóch azobenzokoron: 13- i 16-członowej. Oba związki krystalizują w układzie jednoskośnym. W komórce elementarnej, w każdym przypadku znajdują się dwie niezależne cząsteczki, różniące się konformacją, szczególnie łańcucha eterowego. Porównując konformacje ''wolnych'' makrocykli z konformacjami ich kompleksów z jonami metali wskazano,...

  • Searching for metric structure of musical files

    Publication

    Celem opisywanych prac jest porównanie efektywności wybranych metod sztucznej inteligencji w wyznaczaniu rytmu dla zapisu symbolicznego muzyki. Opisano sposób wykorzystania sztucznych sieci neuronowych i zbiorów przybliżonych do poszukiwania właściwej struktury rytmicznej utworu. Analizowane są fizyczne atrybuty dźwięku, które są najbardziej znaczące dla określenia położenia dźwięku na pozycji akcentowanej lub nieakcentowanej....

  • Krzysztof Nyka dr hab. inż.

    Krzysztof Nyka, received MSc (1986)  PhD (2002) and DSc (2020)  degrees in telecommunication and electrical engineering from the Faculty of Electronics, Telecommunications and Informatics (ETI) of Gdańsk University of Technology (GUT), Poland. He is currently an Associate Professor at the Department of Microwaves and Antenna Engineering, Faculty of ETI, GUT. Before his academic career, he worked for the electronic industry (1984-1986). Research...

  • Shape Restoration of Deformed Egg-Shaped Single Layer Space Frames

    Publication

    - Year 2019

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  • EMG and gaze based interaction with graphic interface of smart glasses application

    In this paper we investigate the effectiveness of the interaction using eye tracking and electromyography. Smart glasses requires reliable interfaces for controlling the graphic content displayed directly in front of the user's eye. Presented research is related with the eGlasses project, which is focused on the development of an open platform in the form of multisensory electronic glasses and related interaction methods. One of...

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  • Extending touch-less interaction with smart glasses by implementing EMG module

    In this paper we propose to use temporal muscle contraction to perform certain actions. Method: The set of muscle contractions corresponding to one of three actions including “single-click”, “double-click” “click-n-hold” and “non-action” were recorded. After recording certain amount of signals, the set of five parameters was calculated. These parameters served as an input matrix for the neural network. Two-layer feedforward neural...

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  • Electrodes array for contactless ECG measurement of a bathing person - a sensitivity analysis

    Publication

    An applicability of a remote (contactless) electrocardiogram (ECG) measurements in a bathtub is presented in the paper. Possibility of ECG measurements in shallowly filled tube with a water was examined. A bathing person was, both, sitting and lying during experiments performed. The problem became non-trivial when the bathing person was moving in reference to a fixed set of electrodes and located at the longer walls of the bathtub....

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  • Method for Clustering of Brain Activity Data Derived from EEG Signals

    A method for assessing separability of EEG signals associated with three classes of brain activity is proposed. The EEG signals are acquired from 23 subjects, gathered from a headset consisting of 14 electrodes. Data are processed by applying Discrete Wavelet Transform (DWT) for the signal analysis and an autoencoder neural network for the brain activity separation. Processing involves 74 wavelets from 3 DWT families: Coiflets,...

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  • Influence of the ionic strength on the amyloid fibrillogenesis of hen egg white lysozyme

    The study investigates the role of the electrostatic interactions in the fibrillation of the hen egg white lysozyme (HEWL). In order to achieve this aim the influence of the cations Na+, Mg2+ and Al3+ on the amyloid fibril formation and amorphous aggregation was tested. The amyloids are formed in the solution without added salt but the Thioflavin T fluorescence gives the false-negative result. In these conditions, the HEWL fibrils...

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  • ReFlexeNN - the Wearable EMG Interface with Neural Network Based Gesture Classification

    The electromyographic activity of muscles was measured using a wireless biofeedback device. The aim of the study was to examine the possibility of creating an automatic muscle tension classifier. Several measurement series were conducted and the participant performed simple physical exercises - forcing the muscle to increase its activity accordingly to the selected scale. A small wireless device was attached to the electrodes placed...

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  • Comparison of Methods for Real and Imaginary Motion Classification from EEG Signals

    Publication

    A method for feature extraction and results of classification of EEG signals obtained from performed and imagined motion are presented. A set of 615 features was obtained to serve for the recognition of type and laterality of motion using 8 different classifications approaches. A comparison of achieved classifiers accuracy is presented in the paper, and then conclusions and discussion are provided. Among applied algorithms the...

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  • Deep learning approach on surface EEG based Brain Computer Interface

    Publication

    - Year 2022

    In this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...

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  • Cykl rzeźb pt. 'struktury biomorficzne'

    Publication

    - Year 2023

    Dotykam świata formą. Tworzę ją z marzeń i obrazów przyrody. Jestem architektem, co pozwala mi dotykać wzrokiem. Rysuję, rzeźbię, sytuuję gliniane obiekty i sprawdzam, czy miejsce je akceptuje. Poszukuję odczucia zgodności. Zgodność kierunkuje podejmowane próby. Wyobraźnia pyta o mieszkańców. Formy mogą mieścić domy. Schronienia bezpiecznie osadzone w kaszubskim krajobrazie. Brzmiące lasem, pachnące tradycją. Nie znam ich dalszych...

  • Piotr Skurski prof. dr hab.

    People

    Piotr Stanisław Skurski (ur. 25 sierpnia 1969 w Gdańsku) – polski chemik specjalizujący się w chemii kwantowej i fizycznej, profesor nauk chemicznych, profesor zwyczajny Wydziału Chemii Uniwersytetu Gdańskiego, kierownik Katedry Chemii Teoretycznej i Pracowni Chemii Kwantowej na tym wydziale, a także Professor of Chemistry w Henry Eyring Center for Theoretical Chemistry na Uniwersytecie Utah w Stanach Zjednoczonych. W latach 2011-2016 członek...

  • Janusz Osicki Struktura

    Publication

    - Year 2010

    Katalog towarzyszący wystawie malarstwa, która odbyła się w listopadzie 2010 w Muzeum Miasta Gdyni. Katalog liczy 20 stron i zawiera tekst krytyczny i notę biograficzną w języku polskim oraz 19 kolorowych reprodukcji prac autora.

  • Struktura kreacji przestrzennej.

    Publication

    - Year 2014

    Struktura kreacji przestrzennej to zagadnienie związane z przebywaniem w przestrzeni, odczuwaniem przestrzeni i analizowaniem jej z punktu widzenia odbiorcy. Projektowanie obiektów architektonicznych zaczyna się umiejscowieniem punktów w przsetrzeni abstrakcyjnej, łączeniem ich w linie (uzyskując graficzne schematy ideowe) i, następnie, umieszczaniem płaszczyzn w wyznaczonym linearnie zarysie. Jako efekt końcowy, otrzymujemy bryły,...

  • Studia Psychologiczne (eng. Psychological Studies)

    Journals

    ISSN: 0081-685X , eISSN: 2300-8520

  • Crystal structure and electronic structure of CePt2In7

    Publication
    • T. Klimczuk
    • O. Walter
    • L. Müchler
    • J. W. Krizan
    • F. Kinnart
    • R. J. Cava

    - JOURNAL OF PHYSICS-CONDENSED MATTER - Year 2014

    We report a corrected crystal structure for the CePt2In7 superconductor, refined from single crystal x-ray diffraction data. The corrected crystal structure shows a different Pt–In stacking along the c-direction in this layered material than was previously reported. In addition, all of the atomic sites are fully occupied with no evidence of atom site mixing, resolving a discrepancy between the observed high resistivity ratio of...

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  • A compact seven-section rat-race hybrid coupler incorporating pbg cells

    A conventional rat-race coupler has been doubly miniaturized: (i) characteristic impedances and electrical lengths of microstrip sections have been adequately modified as the first step of size reduction and (ii) T-shaped PBG cells have been implemented to diminish strip section length as the second step of circuit rat-race couplerminiaturization. The experimental results show good agreement with theoretical characteristics. Furthermore,...

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  • Rough Set-Based Classification of EEG Signals Related to Real and Imagery Motion

    Publication

    - Year 2016

    A rough set-based approach to classification of EEG signals registered while subjects were performing real and imagery motions is presented in the paper. The appropriate subset of EEG channels is selected, the recordings are segmented, and features are extracted, based on time-frequency decomposition of the signal. Rough set classifier is trained in several scenarios, comparing accuracy of classification for real and imagery motion....

  • Influence of Genotype on Meat Quality in Laying Hens after the Egg Production Season

    Publication
    • M. Wegner
    • D. Kokoszyński
    • M. Kotowicz
    • J. Żochowska-Kujawska
    • A. Nędzarek
    • K. Włodarczyk

    - Agriculture-Basel - Year 2023

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  • Effect of temperature change on refractive index of an egg white and yolk: a preliminary study

    Publication

    In this article, the refractive index of an egg white and yolk depending on temperature in range 30 - 47 °C over 1550 nm was determined. The measurement head was constructed as fiber optic Fabry-Perot interferometer with interference between polished fiber end-face and aluminum weighing dish. The measurement setup has been made of an optical spectrum analyzer, a superluminescent diode with a central wevelength of 1550 nm, 2:1 fiber...

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  • Non-Contact Monitoring of ECG in the Home Environment—Selecting Optimal Electrode Configuration

    Capacitive electrocardiography (cECG) is most often used in wearable or embedded measurement systems. The latter is considered in the paper. An optimal electrocardiographic lead, as an individual feature, was determined based on model studies. It was defined as the possibly highest value of the R-wave amplitude measured on the back of the examined person. The lead configuration was also analyzed in terms of minimizing its susceptibility...

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  • Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG

    Publication

    - LECTURE NOTES IN COMPUTER SCIENCE - Year 2022

    EEG-based brain-computer interfaces are systems aiming to integrate disabled people into their environments. Nevertheless, their control could not be intuitive or depend on an active external stimulator to generate the responses for interacting with it. Targeting the second issue, a novel paradigm is explored in this paper, which depends on a passive stimulus by measuring the EEG responses of a subject to the primary colors (red,...

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  • Extending GQM by argument structures

    Publication

    - Year 2007

    Effective metrics definition methods are of particular importance, as measurement mechanisms are indispensable in virtually any engineering discipline. The paper describes how the well known Goal-Question-Metric (GQM) method of systematic metrics derivation from measurement goals can be extended by applying argument structures. The proposed approach is called Goal-Argument-Metric (GAM). We briefly introduce general ideas of GQM...