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Piotr Durka

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Recent Articles
1.
Durka P, Dovgialo M, Duszyk-Bogorodzka A, Bieganski P
Sensors (Basel) . 2024 Feb; 24(3). PMID: 38339559
We propose a two-step procedure for atomic decomposition of multichannel EEGs, based upon multivariate matching pursuit and dipolar inverse solution, from which atoms representing relevant EEG structures are selected according...
2.
Bieganski P, Stroz A, Dovgialo M, Duszyk-Bogorodzka A, Durka P
Sensors (Basel) . 2021 Sep; 21(18). PMID: 34577520
Actigraphy is a well-known, inexpensive method to investigate human movement patterns. Sleep and circadian rhythm studies are among the most popular applications of actigraphy. In this study, we investigate seven...
3.
Chabuda A, Dovgialo M, Duszyk A, Stroz A, Pawlisz M, Durka P
Acta Neurobiol Exp (Wars) . 2019 Dec; 79(4):421-431. PMID: 31885398
In the pursuit to clarify the concept of "BCI illiteracy", we investigated the possibilities of attaining basic binary (yes/no) communication via brain‑computer interface (BCI). We tested four BCI paradigms: steady‑state...
4.
Duszyk A, Dovgialo M, Pietrzak M, Zieleniewska M, Durka P
Clin Neuropsychol . 2019 Jan; 33(2):419-437. PMID: 30657026
Objective: Quantification of signatures of conscious processing in children with disorders of consciousness (DoC) using odd-ball paradigms in multiple modalities. Method: We review the diagnostic approaches available in the field,...
5.
Zieleniewska M, Duszyk A, Rozanski P, Pietrzak M, Bogotko M, Durka P
Int J Neural Syst . 2019 Jan; 29(3):1850049. PMID: 30642201
We propose a fully parametric approach to the assessment of sleep architecture, based upon the classical electroencephalographic criteria, applicable also to the recordings of patients with disorders of consciousness (DOC)....
6.
Dovgialo M, Chabuda A, Duszyk A, Zieleniewska M, Pietrzak M, Rozanski P, et al.
Int J Neural Syst . 2019 Jan; 29(3):1850048. PMID: 30606086
Disorders of consciousness (DOC) are among the major challenges of contemporary medicine, mostly due to the high rates of misdiagnoses in clinical assessment, based on behavioral scales. This turns our...
7.
Chabuda A, Durka P, Zygierewicz J
IEEE Trans Neural Syst Rehabil Eng . 2017 Sep; 26(2):344-352. PMID: 28961117
We present an efficient implementation of brain-computer interface (BCI) based on high-frequency steady state visually evoked potentials (SSVEP). Individual shape of the SSVEP response is extracted by means of a...
8.
Duszyk A, Bierzynska M, Radzikowska Z, Milanowski P, Kus R, Suffczynski P, et al.
PLoS One . 2014 Nov; 9(11):e112099. PMID: 25398134
Efforts to construct an effective brain-computer interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) commonly focus on sophisticated mathematical methods for data analysis. The role of different...
9.
Kus R, Valbuena D, Zygierewicz J, Malechka T, Graeser A, Durka P
IEEE Trans Neural Syst Rehabil Eng . 2012 Oct; 20(6):823-35. PMID: 23033330
A new multiclass brain-computer interface (BCI) based on the modulation of sensorimotor oscillations by imagining movements is described. By the application of advanced signal processing tools, statistics and machine learning,...
10.
Wendel K, Vaisanen O, Malmivuo J, Gencer N, Vanrumste B, Durka P, et al.
Comput Intell Neurosci . 2009 Jul; :656092. PMID: 19639045
We present the four key areas of research-preprocessing, the volume conductor, the forward problem, and the inverse problem-that affect the performance of EEG and MEG source imaging. In each key...