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    Wyświetlanie 1-5 z 5
    Tytuł:
    Stimuli design for SSVEP-based brain computer-interface
    Autorzy:
    Jukiewicz, M.
    Cysewska-Sobusiak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/226402.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    EEG
    OpenBCI
    SSVEP
    BCI
    Opis:
    The paper presents a process of stimuli design for SSVEP-based brain computer-interface. A brain computerinterface can be used in direct communication between a brain and a computer, without using muscles. This device is useful for paralyzed people to communicate with the surrounding environment. Design process should provide high accuracy recognition of presented stimuli and high user comfort. It is widely known how to make stimuli for BCI which are using high-grade EEG. Over recent years cheaper EEGs are becoming more and more popular, for example OpenBCI, which uses ADS1299 amplifier. In this article we review past works of other authors and compare it with our results, obtained using EEG mentioned before. We try to confirm that it is possible to use successfully OpenBCI in BCI projects.
    Źródło:
    International Journal of Electronics and Telecommunications; 2016, 62, 2; 109-113
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation of Bilinear Separation algorithm as a classification method for SSVEP-based brain-computer interface
    Autorzy:
    Jukiewicz, M.
    Cysewska-Sobusiak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/114357.pdf
    Data publikacji:
    2015
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    brain-computer interface
    SSVEP
    bilinear separation
    support vector machine (SVM)
    Opis:
    : The aim of this study was to create a two-class brain-computer interface. As in the case of research on SSVEP stimuli flashing at different frequencies were presented to four subjects. Optimal SSVEP recognition results can be obtained from electrodes: O1, O2 and Oz. In this work SVM classifier with Bilinear Separation algorithm have been compared. The best result in the offline tests using Bilinear Separation was: average accuracy of stimuli recognition 93% and ITR 33.1 bit/min, SVM: 90% and 32.8 bit/min.
    Źródło:
    Measurement Automation Monitoring; 2015, 61, 2; 51-53
    2450-2855
    Pojawia się w:
    Measurement Automation Monitoring
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Low-cost evoked potentials detection for brain computer-interfaces
    Autorzy:
    Jukiewicz, M.
    Cysewska-Sobusiak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/97604.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    brain-computer interface
    detection of evoked potentials
    EEG
    signal processing
    MATLAB
    Opis:
    Evoked potentials are one of the brain's electrical activity types. They appear on the human scalp as a result of a registration of an external stimulus (e.g. an appearance or a change of a sound, a flash of light or an image). Generally, they are used in medical diagnosis, but they also may be used in brain-computer interfaces. In this chapter a laboratory set for the acquisition and analysis of evoked potentials is described. The main part of this set is a photostimulator consisting of sixteen LEDs and the ATmega 328 microcontroller. The software created by the authors allows for: connection between EEG device, stimulator and computer, input stimulus control, output signal filtering and its classification. The presented set may support a process of brain-computer interface design.
    Źródło:
    Computer Applications in Electrical Engineering; 2015, 13; 102-110
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Finding Optimal Frequency and Spatial Filters Accompanying Blind Signal Separation of EEG Data for SSVEP-based BCI
    Autorzy:
    Jukiewicz, M.
    Buchwald, M.
    Cysewska-Sobusiak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/226812.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    BCI
    SSVEP
    BSS
    FastICA
    AMUSE
    Infomax
    Extended Infomax
    CAR
    Large Laplacian
    Small Laplacian
    CCA
    Opis:
    Brain-computer interface (BCI) is a device which allows paralyzed people to navigate a robot, prosthesis or wheelchair using only their own brains reactions. By creating a direct communication pathway between the human brain and a machine, without muscles contractions or activity from within the peripheral nervous system, BCI makes mapping persons intentions onto directive signals possible. One of the most commonly utilized phenomena in BCI is steady-state visually evoked potentials (SSVEP). If subject focuses attention on the flashing stimulus (with specified frequency) presented on the computer screen, a signal of the same frequency will appear in his or hers visual cortex and from there it can be measured. When there is more than one stimulus on the screen (each flashing with a different frequency) then based on the outcomes of the signal analysis we can predict at which of these objects (e.g., rectangles) subject was/is looking at that particular moment. Proper preprocessing steps have taken place in order to obtain maximally accurate stimuli recognition (as the specific frequency). In the current article, we compared various preprocessing and processing methods for BCI purposes. Combinations of spatial and temporal filtration methods and the proceeding blind source separation (BSS) were evaluated in terms of the resulting decoding accuracy. Canonical-correlation analysis (CCA) to signals classification was used.
    Źródło:
    International Journal of Electronics and Telecommunications; 2018, 64, 4; 439-444
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Examples of computer-aided combined use of different methods of medical imaging
    Autorzy:
    Cysewska-Sobusiak, A.
    Hulewicz, A.
    Jukiewicz, M.
    Krawiecki, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/97331.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    computer-aided systems
    biomedical engineering
    methods of imaging
    stenting control
    Opis:
    This paper is devoted to interesting and difficult problems concerned with interdisciplinary biomedical engineering. The main purpose of the paper is to present rules and application of still developing modern methods of medical imaging combining properties of the selected techniques. The examples considered by the authors include combined applications of different methods of imaging such as: X-ray imaging, videoendoscopy, and ultrasonography. Some selected examples of effects obtained during real interventions assisted by combined imaging of operation site are shown in the paper. Examples of imaging the application of stents allowing for the performance of diagnostic and therapeutic procedures are also reported. Videoendoscopy imaging and X-ray imaging are two complementary methods applied during the interventions presented in stenting control. On the one hand, these methods facilitate a significant increase in diagnostics and treatment comfort. On the other hand, there is possibility to control stenting efficiency.
    Źródło:
    Computer Applications in Electrical Engineering; 2014, 12; 511-520
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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