Wyniki wyszukiwania dla: EEG SIGNAL ANALYSIS

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

  Publikacja

  • A. Kurowski
  • K. E. Mrozik
  • B. Kostek
  • A. Czyżewski

  - JOURNAL OF INTELLIGENT & FUZZY SYSTEMS - Rok 2019

  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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• 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

  Publikacja

  • K. Kaszuba-Miotke
  • B. Kostek

  - Elektronika : konstrukcje, technologie, zastosowania - Rok 2012

  The 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....

• Tools for signal analysis of gas sensors

  Publikacja

  • M. Blaha
  • L. Hasse
  • J. Smulko

  - Rok 2006

  Statystyki drugiego rzedu oraz jklasyczna analiza widmowa są zwykle stosowane do badania sygnałów losowych o rozkładzie gaussowskim. Są one jednak często nieodpowiednie w przypadku analizy niestacjonarnych sygnałów niegaussowskich. Pewne narzędzia do analizy takich sygnałów sa dostępne w bibliotekach środowiska MATLAB. Zostały one wykorzystane do do analizy fluktuacji sygnałów czujników gazów. W artykule przedstawiono system do...

• Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation

  Publikacja

  • K. Ledwosiński
  • P. Czapla
  • T. Kocejko
  • J. Kang-Hyun

  - Rok 2023

  Machine 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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• The Use of Wavelet Analysis to Denoising of Electrocardiography Signal

  Publikacja

  • D. Gradolewski
  • G. Redlarski

  - Rok 2013

  The electrocardiography examination, due to its accessibility and simplicity, has an important role in diagnostics of the heart ailments. It enables quick detection of various heart defects, undetectable by other kinds of diagnostic tools, so it is very popular. Nevertheless, the measured signal is exposed to a different disturbances. Among them, the electromagnetic interferences, drift of reference electrode and high frequency...

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• General analysis of braodband signal spatial filtration.

  Publikacja

  • R. Salamon
  • M. Rudnicki
  • J. Schmidt

  - HYDROACOUSTICS - Rok 2003

  Przedstawiono ogólną metodę wyznaczania charakterystyk kierunkowych filtrów przestrzennych dla hydroakustycznych sygnałów przestrzennych. Omówiono wpływ szerokości widma odbieranych sygnałów na szerokość wiązki i poziom listków bocznych. Pokazano skutki oszczędnych metod filtracji przestrzennej stosowanych przy odbiorze sygnałów wąskopasmowych, gdy odbierane są sygnały szerokopasmowe.

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• Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications

  Publikacja

  • P. Szczuko

  - MULTIMEDIA TOOLS AND APPLICATIONS - Rok 2017

  Rough 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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• Analysis of allophones based on audio signal recordings and parameterization

  Publikacja

  • A. Czyżewski
  • M. Piotrowska
  • B. Kostek

  - Journal of the Acoustical Society of America - Rok 2017

  The aim of this study is to develop an allophonic description of English plosive consonants based on recordings of 600 specially selected words. Allophonic variations addressed in the study may have two sources: positional and contextual. The former one depends on the syllabic or prosodic position in which a particular phoneme occurs. Contextual allophony is conditioned by the local phonetic environment. Co-articulation overlapping...

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• Sampling Theory, Signal Processing, and Data Analysis

  Czasopisma

  ISSN: 2730-5716 , eISSN: 2730-5724

• Analysis of radiometric signal in sedimentating suspension flow in open channel

  Publikacja

  • M. Zych
  • R. Hanus
  • L. Petryka
  • D. Świsulski
  • M. Doktor
  • W. Mastej

  - Rok 2014

  The article discusses issues related to the estimation of the sedimentating solid particles average flow velocity in an open channel using radiometric methods. Due to the composition of the compound, which formed water and diatomite, received data have a very weak signal to noise ratio. In the process analysis the known determining of the solid phase transportation time delay the classical cross-correlation function is the most...

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