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1
Content available remote Drgania molekularne wywiedzione z eksperymentu dyfrakcyjnego. Wpływ drgań o dużej amplitudzie na własności materiałowe
100%
Wójcik G. M.
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2005
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tom Vol. 10
99-108
2
Content available remote Signal visualisation software for Mindset MS-1000 electroencephalograph
63%
Wierzgała P. , Wójcik G. M.
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2011
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tom Vol. 7, no. 1
83--88
EN
The paper presents EEG signal visualisation software designed for the Mindset MS-1000 EEG 16-channel device, manufactured by Nolan Computer Systems. The software is designed to work system independently and be accessible via web browsers. The presented application was developed in Adobe Flex technology with external Papervision3D library. It provides complete visualisation solutions such as navigable EEG chart or two separated 3D head models with applied EEG data.
3
Content available remote Independent component analysis of EEG data for EGI system
63%
Gajos A. , Wójcik G. M.
Bio-Algorithms and Med-Systems
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2016
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tom Vol. 12, no. 2
67--72
EN
Component analysis is one of the most important methods used for electroencephalographic (EEG) signal decomposition, and the so-called independent component analysis (ICA) is commonly used. The main function of the ICA algorithm is to find a linear representation of non-Gaussian data whose elements are statistically independent or at least as independent as possible. There are many commercial solutions for EEG signal acquisition. Usually, together with the EEG, one gets a dedicated software to handle the signal. However, quite often, the software does not provide researchers with all necessary functions. A high-performance, dense-array EGI-EEG system is distributed with the NetStation software. Although NetStation is a powerful tool, it does not have any implementation of the ICA algorithm. This causes many problems for researchers who want to export raw data from the amplifier and then work on it using some other tools such as EEGLAB for MATLAB, as these data are not fully compatible with the EGI format. We will present the C++ implementation of ICA that can handle filtered data from the EGI with better affordability. Our tool offers visualization of raw signal and ICA algorithm results and will be distributed under Freeware license.
4
Content available remote Neuronal movement detector in the model of simulated mammalian visual system
63%
Wójcik G. M. , Kamiński W. A.
Bio-Algorithms and Med-Systems
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2005
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tom Vol. 1, no. 1/2
321--324
EN
A simple model of mammalian visual system was created. This structure was simulated by means of several hundred Hodgkin-Huxley neurons. We investigated signal processing properties of the model. Energetic function - a concept taken from information theory was applied to the analysis of Primary Visual Cortex dynamics. Discussion of such method's efficiency in movement detection is presented in some detail.
PL
Stworzono prosty model układu wzrokowego ssaka. Struktura taka była symulowana przy pomocy kilkuset neuronów Hodgkina-Huxleya. Badano zdolności przewodzenia sygnałów przez taką strukturę. Funkcja energetyczna - metoda zaczerpnięta z teorii informacji - została wykorzystana do analizy dynamiki pierwotnej kory wzrokowej (PVC) mózgu. Zostanie przeprowadzona dyskusja na temat wykorzystania funkcji energetycznej do detekcji ruchu.
5
Content available remote Test-signal generators for Mindset MS-1000 electroencephalograph with data acquisition system for Linux OS
63%
Kotyra S. , Wójcik G. M.
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2011
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tom Vol. 7, no. 1
77--82
EN
The paper presents a hardware and software solution giving methods of communication and the construction of the artificial EEG patients. The software is designed for the Mindset MS-1000 EEG 16-channel device, manufactured by Nolan Computer Systems. The modular analysing system for Linux OS is presented. In addition, to testify the calibration of the device – the artificial patient has been designed and constructed together with appropriate hardware-software generators.
6
Content available Developing brain electric activity acquisition software for Linux
63%
Kotyra S. , Wójcik G. M.
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2010
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tom Vol. 10, no. 1
7--14
EN
This article discusses the first successful phase of our work on the construction of a complete modular research station for EEG signal acquisition and analysis performed in real-time mode and in a way that meets our needs. Our intentions were presented in [1].
7
Content available Liquid computing and analysis of sound signals
63%
Cebryk R. , Wójcik G. M.
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
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2014
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tom Vol. 14, no. 3
33--42
EN
Liquid Computing Theory is a proposal of modelling the behaviour of neural microcircuits.It focuses on creating a group of neurons, known as a liquid layer, responsible for preprocessing of the signal that is being analysed. Specific information is achieved by the readout layers, task oriented groups of neurons, taught to extract particular information from the state of liquid layer. The LSMs have been used to analyse sound signals. The liquid layer was implemented in the PCSIM Simulator, and the readout layer has been prepared in the JNNS simulator. It could successfully recognise certain sounds despite noises. Those results encourage further research of the computational potentialof Liquid State Machines including working in parallel with many readout layers.
8
Content available remote Adaptation of the humanoid robot to speech disfluency therapy
51%
Kwaśniewicz Ł. , Kuniszyk-Jóźkowiak W. , Wójcik G. M. , Masiak J.
Bio-Algorithms and Med-Systems
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2016
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tom Vol. 12, no. 4
169--177
EN
The paper describes an application that allows to use a humanoid robot as a stutterer’s assistant and therapist. Auditory and visual feedback has been used in the therapy with a humanoid robot. For this purpose, the common method of “echo” was modified. The modification is that the speaker hears delayed speech sounds uttered by the robot. The sounds of speech coming from an external microphone are captured and delayed by a computer and then, using User Datagram Protocol (UDP), sent to the robot’s system and played in its speakers. This system allows the elimination of negative feedback and external sound field’s noise. The effect of this therapy is enhanced by the fact that, in addition to the effect, relating to the action of the delayed feedback, the speaker has company during the difficult process of speaking. Visual feedback has been realized as changes in the robot’s hand movements according to the shape of the speech signal envelope and possibility of controlling speech with a metronome effect.
9
Content available remote Evaluation of Emotiv EEG neuroheadset
51%
Wójcik G. M. , Wierzgała P. , Gajos A.
Bio-Algorithms and Med-Systems
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2015
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tom Vol. 11, no. 4
211--215
EN
Electroencephalography (EEG) has become more popular, and as a result, the market grows with new EEG products. The new EEG solutions offer higher mobility, easier application, and lower price. One of such devices that recently became popular is Emotiv EEG. It has been already tested in various applications concerning brain-computer interfaces, neuromarketing, language processing, and detection of the P-300 component, with a general result that it is capable of recording satisfying research data. However, no one has tested and described its usefulness in long-term research. This article presents experience from using Emotiv EEG in two research projects that involved 39 subjects for 22 sessions. Emotiv EEG has significant technical issues concerning the quality of its screw threads. Two complete and successful solutions to this problem are described.
10
Content available Synchronous SSVEP Data Acquisition System
51%
Kotyra S. , Wójcik G. M. , Smolira M.
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
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2014
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tom Vol. 14, no. 3
15--19
EN
Steady State Visually Evoked Potentials have been known for several decades and they appear in the primary visual cortex of brain as a result of light stimulation of the sense of sight. In this article a simple method for electroencephalographic data acquisition is presented. The system is based on the DSM-51 unit connected to goggles with blinking diodes and Mindset-1000 EEG amplifier with 16 channels. We present self-developed hardware and method of effective synchronization for the light stimulation and brain activity recording.
11
Content available remote Finding the best efficiency in ActionScript based web applications on example of FFT algorithm
51%
Wierzgała P. , Wójcik G. M. , Smolira M.
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2012
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tom Vol. 8, no. 4
373--385
EN
This paper focuses on finding the most efficinet way of performing local and remote computations with web appliacation based on ActionScript language. Tests involve comparsion of several scenarions which uses pure ActionScript, ActionScript with Alchemy project and ActionScript connecting with C application over AMF protocol and with FileReference class.
12
Content available remote Usefulness of EGI EEG system in brain computer interface research
38%
Wójcik G. M. , Mikołajewska E. , Mikołajewski D. , Wierzgała P. , Gajos A. , Smolira M.
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tom Vol. 9, no. 2
73--79
EN
Despite the quick development of medicine and associated medical technology, there are still many patients with very severe neurological deficits who need far more sophisticated solutions, such as brain computer interfaces (BCIs). Our research aims at becoming familiar with BCI technology and the assessment of the possibilities of selected subjects in the area of P300-based BCI. An indirect aim is a discussion on the procedures of patient preparation for BCI installation, possible threats and limitations. Our research presents one of the possible efforts towards better documentation of investigating neural correlates of brain processing.
13
Content available Computational approach to understanding Autism Spectrum Disorders
38%
Duch W. , Nowak W. , Meller J. , Osiński G. , Dobosz K. , Mikołajewski D. , Wójcik G. M.
Computer Science
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2012
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tom Vol. 13 (2)
47-61
EN
Every year the prevalence of Autism Spectrum of Disorders (ASD) is rising. Is there a unifying mechanism of various ASD cases at the genetic, molecular, cellular or systems level? The hypothesis advanced in this paper is focused on neural dysfunctions that lead to problems with attention in autistic people. Simulations of attractor neural networks performing cognitive functions help to assess system long-term neurodynamics. The Fuzzy Symbolic Dynamics (FSD) technique is used for the visualization of attractors in the semantic layer of the neural model of reading. Large-scale simulations of brain structures characterized by a high order of complexity requires enormous computational power, especially if biologically motivated neuron models are used to investigate the influence of cellular structure dysfunctions on the network dynamics. Such simulations have to be implemented on computer clusters in a grid-based architectures.
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