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Wyniki wyszukiwania dla: REJESTRACJA EKG
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Transfer learning in imagined speech EEG-based BCIs
PublikacjaThe 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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Systematic Literature Review for Emotion Recognition from EEG Signals
PublikacjaResearchers 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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Systematic Literature Review for Emotion Recognition from EEG Signals
PublikacjaResearchers 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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MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG
PublikacjaThis 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,...
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Comparison of the effectiveness of automatic EEG signal class separation algorithms
PublikacjaIn 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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Comparison of Classification Methods for EEG Signals of Real and Imaginary Motion
PublikacjaThe 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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Automatic Clustering of EEG-Based Data Associated with Brain Activity
PublikacjaThe 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
PublikacjaThere 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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Zastosowanie EMG do analizy wybranych ruchów kończyny górnej
PublikacjaCelem 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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Towards hand grip force assessment by using EMG estimators
PublikacjaThe 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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Shape Restoration of Deformed Egg-Shaped Single Layer Space Frames
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Deep learning approach on surface EEG based Brain Computer Interface
PublikacjaIn 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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Electrodes array for contactless ECG measurement of a bathing person - a sensitivity analysis
PublikacjaAn 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
PublikacjaA 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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Extending touch-less interaction with smart glasses by implementing EMG module
PublikacjaIn 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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Influence of the ionic strength on the amyloid fibrillogenesis of hen egg white lysozyme
PublikacjaThe 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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Filtrujące struktury EBG w układzie zasilania planarnej anteny szczelinowej
PublikacjaW referacie zaprezentowano zminiaturyzowaną, dwuzakresową antenę szczelinową zasilaną poprzez linię koplanarną zawierającą filtrujące struktury EBG. Szerokopasmową antenę szczelinową o konwencjonalnej topografii zmodyfikowano umieszczając prostą komórkę EBG w układzie zasilania anteny, otrzymując w rezultacie dwa zakresy pracy struktury antenowej: 2.5 ÷ 5.3 GHz oraz 13.5 ÷ 16.3 GHz, przy współczynniku fali stojącej WFS≤2. Wyniki...
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Filtrujące struktury ebg w układzie zasilania planarnej anteny szczelinowej
PublikacjaW pracy zaprezentowano koncepcję miniaturyzacji systemu nadawczo/odbiorczego polegającą na wprowadzeniu filtrujących struktur EBG (ang. Electromagnetic BandGap) w torze zasilania anteny, dzięki czemu możliwa jest eliminacja dodatkowego komponentu filtrującego. Rozważono szerokopasmową antenę szczelinową o konwencjonalnej topografii, którą następnie zmodyfikowano poprzez umieszczenie w układzie zasilania prostej, pasmowo-zaporowej...
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ReFlexeNN - the Wearable EMG Interface with Neural Network Based Gesture Classification
PublikacjaThe 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
PublikacjaA 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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EMG and gaze based interaction with graphic interface of smart glasses application
PublikacjaIn 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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Influence of Genotype on Meat Quality in Laying Hens after the Egg Production Season
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Effect of temperature change on refractive index of an egg white and yolk: a preliminary study
PublikacjaIn 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
PublikacjaCapacitive 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
PublikacjaEEG-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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Filtering EBG Structures Implemented in Coplanar Waveguide Feedline of Planar Slot Antenna
PublikacjaA novel compact dual-band slot antenna fed by a coplanar waveguide (CPW) incorporating electromagnetic band gap (EBG) structures has been proposed. At first, a classic wideband slot antenna fed by a CPW, dedicated to work in 2 ÷ 18 GHz band, has been designed. Subsequently, by adding simple EBG filtering structures into a CPW feedline, a dual-band performance ranging from 2.5 to 5.3 GHz and from 13.5 to 16.3 GHz, with the voltage...
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Rough Set-Based Classification of EEG Signals Related to Real and Imagery Motion
PublikacjaA 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....
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Brain-computer interaction based on EEG signal and gaze-tracking information = Analiza interackji mózg-komputer wykorzystująca sygnał EEg i informacje z systemu śledzenia punktu fiksacji wzroku
PublikacjaThe article presents an attempt to integrate EEG signal analysis with information about human visual activities, i.e. gaze fixation point. The results from gaze-tracking-based measurement were combined with the standard EEG analysis. A search for correlation between the brain activity and the region of the screen observed by the user was performed. The preliminary stage of the study consists in electrooculography (EOG) signal processing....
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Close-Distance Optical Flow Fusion Using EKF for Multirotor UAV Position Estimation
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Higuchi fractal dimension analysis of surface EMG signals and determination of active electrode positions
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DETECTION OF BREATHING AND HEART RATE USING AN ECG SIGNAL MEASURED WHILE BATHING IN THE BATHTUB
PublikacjaNowadays a new area of interest is gaining importance - it is home biomedical examination. Intelligent home can be supported by set of devices for habitants observation. It can be particularly useful for elders or person with some health risks but living alone. One of critical locations within the house is bathroom. One of utilities in the bathroom is a bathtub which is sometimes preferred over shower. There are reports of problems...
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Eko-regionalizm w architekturze wsi – idea czy realna szansa odbudowy wiejskości?
PublikacjaArtykuł jest refleksją nad możliwością odrodzenia lokalnych form budownictwa wiejskiego dzięki rozwojowi architektury proekologicznej: "Swoisty eko-regionalizm w architekturze i budownictwie może wzmocnić odbudowę lokalnej specyfiki i lokalnej gospodarki wielu miejscowości. Wyrazisty wizerunek miejsca, kreowany przez architekturę i inne elementy zagospodarowania, sprzyja formowaniu tożsamości społecznej, poczuciu wspólnoty i rozwojowi...
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Rating by detection: an artifact detection protocol for rating EEG quality with average event duration
PublikacjaQuantitative evaluation protocols are critical for the development of algorithms that remove artifacts from real EEG optimally. However, visually inspecting the real EEG to select the top-performing artifact removal pipeline is infeasible while hand-crafted EEG data allow assessing artifact removal configurations only in a simulated environment. This study proposes a novel, principled approach for quantitatively evaluating algorithmically...
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Z życia PKG. Biuletyn Informacyjny Polskiego Komitetu Geotechniki nr 4/2012
PublikacjaPrzedstawiono aktualne informacje dotyczące kadencji 2011-2014, obejmujące: skład prezydium i zarządu, przewodniczących Oddziałów Regionalnych i Podkomitetów, Honorowych Członków oraz Składu Komisji Rewizyjnej i Sądu Koleżeńskiego. Zamieszczono szczegółowy zakres czterech głównych kierunków działań obejmujących: organizację konferencji i seminariów krajowych i zagranicznych, działalność publikacyjną, organizacyjną i współpracę...
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APPLICATION OF STATISTICAL FEATURES AND MULTILAYER NEURAL NETWORK TO AUTOMATIC DIAGNOSIS OF ARRHYTHMIA BY ECG SIGNALS
PublikacjaAbnormal electrical activity of heart can produce a cardiac arrhythmia. The electrocardiogram (ECG) is a non-invasive technique which is used as a diagnostic tool for cardiac diseases. Non-stationarity and irregu- larity of heartbeat signal imposes many difficulties to clinicians (e.g., in the case of myocardial infarction arrhythmia). Fortunately, signal processing algorithms can expose hidden information within ECG signal contaminated...
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Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublikacjaMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
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Investigation of active channels in multi-channel surface arm EMG recordings for 24 different movements
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Asymmetric Properties of the Heart Rate Microstructure in Healthy Adults during 48 h ECG Recordings
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublikacjaBrain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
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ESG investing during the Covid-19 crisis. Evidence from Central European Stock Exchanges
PublikacjaAs COVID-19 turned into a global pandemic, world markets gradually began to recover after initial dynamic declines. Restrictions, and their subsequent loosening, were, and are, not without significance for the financial markets. These particular circumstances provide a unique opportunity to contribute to the literature by focusing on the potential resilience of ESG (environmental, social and governance) investing in an era of crisis....
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Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications
PublikacjaRough set-based approach to the classification of EEG signals of real and imaginary motion is presented. The pre-processing and signal parametrization procedures are described, the rough set theory is briefly introduced, and several classification scenarios and parameters selection methods are proposed. Classification results are provided and discussed with their potential utilization for multimedia applications controlled by the...
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Entropy measures of heart rate variability for short ECG datasets in patients with congestive heart failure
PublikacjaWe investigated the usefulness of entropy measures calculated for short ECG series in distinguishing healthy subjects from patients with congestive heart failure (CHF). Four entropy measures were tested: Approximate Entropy (ApEn), Sample Entropy (SampEn), Fuzzy Entropy (FuzzyEn) and Permutation Entropy (PE), each computed for ECG series of 1000, 500, 250 and 100 RR intervals. We found that with a reduction of the data set length...
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Entropy Measures of heart rate variability for short ECG datasets in patients with congestive heart failure
PublikacjaWe investigated the usefulness of entropy measures calculated for short ECG series in distinguishing healthy subjects from patients with congestive heart failure (CHF). Four entropy measures were tested: Approximate Entropy (ApEn), Sample Entropy (SampEn), Fuzzy Entropy (Fuzzy En) and Permutation Entropy (PE), each computed for ECG series of 1000, 500, 250 and 100 RR intervals. We found that with a reduction of the data set length...
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Mikrokomputerowy rejestrator pracy palownicy.
PublikacjaPrzedstawiono system pomiarowy do rejestracji parametrów wytwarzania pali betonowych. System pozwala na rejestrację i wizualizację takich parametrów jak głębokość i prędkość posuwu głowicy wiercącej, ciśnienie oraz wydatek zawiesiny bentonitowej, prędkość obrotową i remont głowicy. Na podstawie zarejestrowanych wyników możliwe jest utworzenie pełnej dokumentacji wykonanych pali.
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Extension of selected ADFA construction algorithms to the case of cyclic automata.
PublikacjaW niedawnym artykule Rafael Carrasco i Mikel Forcada przedstawiają przyrostowy algorytm dodawania słów do minimalnego, acyklicznego automatu skończonego. Ten algorytm jest uogólnieniem przyrostowego algorytmu tworzenia acyklicznych deterministycznych automatów skończonych (ADFAs). Przedstawiamy podobne uogólnienia dwóch innych algorytmów tworzenia ADFAs. Chociaż te ougólnienia zostały już opublikowane w maju i czerwcu 2004 r.,...
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Independent dynamics of slow, intermediate, and fast intracranial EEG spectral activities during human memory formation
PublikacjaA wide spectrum of brain rhythms are engaged throughout the human cortex in cognitive functions. How the rhythms of various low and high frequencies are spatiotemporally coordinated across the human brain during memory processing is inconclusive. They can either be coordinated together across a wide range of the frequency spectrum or induced in specific bands. We used a large dataset of human intracranial electroencephalography...
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Effects of Urea and Trimethylamine-N-oxide on the Properties of Water and the Secondary Structure of Hen Egg White Lysozyme
PublikacjaW celu określenia sposobu hydratacji mocznika i N-tlenku trimetyloaminy, wykorzystano spektroskopię oscylacyjną FTIR. Dane eksperymentalne, otrzymane z pomiarów widm oscylacyjnych wody półciężkiej (HDO) rozcieńczonej izotopowo w wodnych roztworach badanych związków, analizowane były za pomocą "metody widm różnicowych". Strukturalno-energetyczna charakterystyka wody zaburzonej przez cząsteczki osmolitów wskazuje, że woda zaburzona...
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Independent dynamics of slow, intermediate, and fast intracranial EEG spectral activities during human memory formation
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A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction
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