Wyszukiwarka
Filtry
wszystkich: 3315
-
Katalog
- Publikacje 2496 wyników po odfiltrowaniu
- Czasopisma 3 wyników po odfiltrowaniu
- Osoby 198 wyników po odfiltrowaniu
- Wynalazki 1 wyników po odfiltrowaniu
- Projekty 40 wyników po odfiltrowaniu
- Laboratoria 8 wyników po odfiltrowaniu
- Zespoły Badawcze 13 wyników po odfiltrowaniu
- Aparatura Badawcza 2 wyników po odfiltrowaniu
- Kursy Online 468 wyników po odfiltrowaniu
- Wydarzenia 22 wyników po odfiltrowaniu
- Dane Badawcze 64 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: analiza sygnalow eeg
-
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....
-
Analiza i przetwarzanie sygnałów telekomunikacyjnych (zima 2022/23)
Kursy OnlineElektronika i Telekomunikacja, studia inżynierskie sem. 7
-
Analiza i przetwarzanie sygnałów telekomunikacyjnych (zima 2023/24)
Kursy Online -
Analiza i przetwarzanie sygnałów telekomunikacyjnych (zima 2024/25)
Kursy Online -
Metody redukcji artefaktów w zapisie EEG.
PublikacjaPrzegląd i opis metod badania EEG jego uwarunkowań technicznych oraz problemy z tym związane. Dokonano przeglądu metod pozwalających na zredukowanie bądź eliminacje artefaktów w zapisie EEG.
-
Balance recognition on the basis of EEG measurement.
PublikacjaAlthough electroencephalography (EEG) is not typically used for verifying the sense of balance, it can be used for analysing cortical signals responsible for this phenomenon. Simple balance tasks can be proposed as a good indicator of whether the sense of balance is acting more or less actively. This article presents preliminary results for the potential of using EEG to balance sensing....
-
Labeler-hot Detection of EEG Epileptic Transients
PublikacjaPreventing early progression of epilepsy and sothe severity of seizures requires effective diagnosis. Epileptictransients indicate the ability to develop seizures but humansoverlook such brief events in an electroencephalogram (EEG)what compromises patient treatment. Traditionally, trainingof the EEG event detection algorithms has relied on groundtruth labels, obtained from the consensus...
-
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...
-
Tensor Decomposition for Imagined Speech Discrimination in EEG
PublikacjaMost of the researches in Electroencephalogram(EEG)-based Brain-Computer Interfaces (BCI) are focused on the use of motor imagery. As an attempt to improve the control of these interfaces, the use of language instead of movement has been recently explored, in the form of imagined speech. This work aims for the discrimination of imagined words in electroencephalogram signals. For this purpose, the analysis of multiple variables...
-
Decoding imagined speech for EEG-based BCI
PublikacjaBrain–computer interfaces (BCIs) are systems that transform the brain's electrical activity into commands to control a device. To create a BCI, it is necessary to establish the relationship between a certain stimulus, internal or external, and the brain activity it provokes. A common approach in BCIs is motor imagery, which involves imagining limb movement. Unfortunately, this approach allows few commands. As an alternative, this...
-
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,...
-
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....
-
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,...
-
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....
-
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...
-
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....
-
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...
-
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...
-
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,...
-
CLINICAL EEG AND NEUROSCIENCE
Czasopisma -
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...
-
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...
-
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...
-
Wykorzystanie rzeczywistego zapisu EEG w modelu potencjałów wywołanych do testowania algorytmów detekcji potencjałów wzrokowych.
PublikacjaPrzedstawiona praca dotyczy kontynuacji badań modelowych, gdzie syntetyczna aktywność spontaniczna została zastąpiona sygnałem rzeczywistym. Ocenie podlega uprzednio stworzony model aktywności spontanicznej. Weryfikacji ulega przydatność algorytmu detekcji.
-
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...
-
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...
-
Edukacyjna Analiza Transakcyjna
Czasopisma -
Wspomaganie komunikacji w procesie neurorehabilitacji z wykorzystaniem śledzenia wzroku i analizy sygnałów EEG
PublikacjaW pracy przedstawiono charakterystykę systemu do wspomagania komunikacji w procesie neurorehabilitacji osób w stanie ograniczonej świadomości. Przygotowana aplikacja komputerowa wykorzystuje metodę śledzenia wzroku wspomaganą analizą sygnału EEG. W pracy podano genezę powstania systemu, scharakteryzowano zaimplementowane ćwiczenia oraz pozostałe funkcjonalności, a także zamieszczono wyniki wstępnych badań dokonanych w kilku polskich...
-
EEG data recorded in three mental states
Dane BadawczeElectroencephalographic (EEG) signals were acquired from 17 (14 males, 3 females) participants aged between 20 and 30 years.
-
The set of 22 sessions of 14-channel eeg signals recorded during watching pictures
Dane BadawczeThe data were collected in order to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals collected from 10 persons within 22 sessions, during which 45 different random photos taken from the ImageNet...
-
Analiza i Egzystencja
Czasopisma -
Analiza sygnału
Kursy OnlineAnaliza sygnału: laboratorium prowodzone dla Informatyki Stosowanej, potrzebne oprogramowanie: MathematicaOczywiście istnieje możliwość zapisania się na kurs przez innych studentów w celu przeglądania zamieszczonych materiałów.Kontakt: klaudiawrzask@google.com
-
Analiza Matematyczna II
Kursy OnlineAnaliza matematyczna II to kontynuacja kursu rachunku różniczkowego i całkowego.
-
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....
-
Analiza matematyczna III
Kursy OnlineAnaliza matematyczna III, kierunek Matematyka (WFTiMS), I stopnia - licencjackie
-
Analiza matematyczna III
Kursy OnlineAnaliza matematyczna III, kierunek Matematyka (WFTiMS), I stopnia - licencjackie
-
Analiza danych AI
Kursy OnlineAnaliza danych (AI) - dr inż. Karol Flisikowski, prof. uczelni.
-
Analiza metod oceny ryzyka zawodowego
PublikacjaAnaliza metod oceny ryzyka zawodowego, porównanie metod pod kontem spełnienie przyjętych kryteriów oceny.
-
Analiza cyklu życia
PublikacjaAnaliza cyklu życia (LCA, ang. Life Cycle Analysis) z założenia obejmuje podejście „od kołyski aż po grób” w ocenie procesów przemysłowych i produktów. Ta wizja zaczyna się już w momencie wydobycia surowców pierwotnych w celu przetworzenia i wytworzenia produktu, a kończy, gdy wszystkie materiały zostają poddane utylizacji, recyklingowi lub składowaniu. LCA ocenia wszystkie etapy życia produktu z założeniem, że są od siebie współzależne,...
-
Analiza matematyczna II 2022
Kursy OnlineAnaliza matematyczna II (FT1001); Fizyka Techniczna (WFTiMS), I stopnia - inżynierskie, stacjonarne.
-
Analiza matematyczna II 2023
Kursy OnlineAnaliza matematyczna II (FT1001); Fizyka Techniczna (WFTiMS), I stopnia - inżynierskie, stacjonarne.
-
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...
-
Independent dynamics of slow, intermediate, and fast intracranial EEG spectral activities during human memory formation
Publikacja -
Analiza Rzeczywista i Zespolona
Kursy OnlineAnaliza rzeczywista i zespolona, kierunek Matematyka (WFTiMS), II stopnia
-
Analiza rzeczywista i zespolona
Kursy OnlineAnaliza rzeczywista i zespolona, kierunek Matematyka (WFTiMS), II stopnia
-
Zbieranie i numeryczna analiza danych
Kursy OnlineZbieranie i analiza danych pomiarowych
-
Analiza żywności 2021/2022
Kursy OnlineKurs przeznaczony jest dla studentów kierunku Biotechnologia, I stopień, semestr VII realizujących przedmiot Analiza żywności w roku akademickim 2021/2022.
-
Analiza rozwiązań projektowych wraz z opinia dotyczącą prawidłowości przyjętych w projekcie rozwiazań konstrukcyjnych oraz analiza hydrogeologiczną rejonu robót budowlanych.
PublikacjaAnaliza rozwiązań projektowych wraz z opinia dotyczącą prawidłowości przyjętych w projekcie rozwiazań konstrukcyjnych oraz analiza hydrogeologiczną rejonu robót budowlanych.
-
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG 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 frequency ranges are coordinated across the space of the human cortex and time of memory processing is inconclusive. They can either be coordinated together across the frequency spectrum at the same cortical site and time or induced independently in particular bands. We used a large dataset of human intracranial...
-
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublikacjaComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...