Research and experimental work
BrainTech offers comprehensive software for EEG recording and EEG/BCI experiments in terms of:
Traditional ERP experiments based on PsychoPy framework adaptation
BCI paradigms: visual, sensory and auditory potentials, motion imagination, SSVEP
Video EEG polysomnographic recording
EEG with tags displayed in SVAROG
BRAINTECH SOFTWARE WAS USED IN PUBLICATIONS
- [BCI] Assessment of statistically significant command following in pediatric patients with disorders of consciousness, based upon visual, auditory and tactile event- related potentials. M. Dovgialo, A. Chabuda, A. Duszyk, M. Zieleniewska, M. Pietrzak, P. Różański, and P. Durka. International Journal of Neural Systems, 29(3):1850048, Oct 2018
- [Wideo EEG] Parametric Description of EEG Profiles for Assessment of Sleep Architecture in Disorders of Consciousness. M. Zieleniewska, A. Duszyk, P. Różański, M. Pietrzak, M. Bogotko, and P. Durka. International Journal of Neural Systems, 29(3):1850049, Oct 2018.
- [BCI] Event-related potentials in the odd-ball paradigm and behavioral scales for the assessment of children and adolescents with disorders of consciousness: a proof of concept study. A. Duszyk, M. Dovgialo, M. Pietrzak, M. Zieleniewska, and P. Durka. The Clinical Neuropsychologist, pp. 1–19, Jan 2019
- [Svarog] Spindles in Svarog: framework and software for parametrization of EEG transients P. Durka, U. Malinowska, M. Zieleniewska, Ch. O’Reilly, P. Różański, J. Żygierewicz. Frontiers in Human Neuroscience, May 2015
- [Svarog] Electroencephalographic profiles for differentiation of disorders of consciousness U. Malinowska, C. Chatelle, M-A Bruno, Q. Noirhomme, S. Laureys, P. Durka BioMedical Engineering OnLine 2013, 12:109, Oct 2013
- [Svarog] Multivariate matching pursuit in optimal Gabor dictionaries: theory and software with interface for EEG/MEG via Svarog. R. Kuś, P.T. Różański and P.J. Durka. BioMedical Engineering OnLine 12:94, 2013
- [BCI] On the Quantification of SSVEP Frequency Responses in Human EEG in Realistic BCI Conditions Kuś R, Duszyk A, Milanowski P, Łabęcki M, Bierzyńska M, Radzikowska Z, Michalska M, Żygierewicz J, Suffczyński P, Durka PJ. PLoS One 18;8(10):e77536 Oct 2013
- [SSVEP-BCI] Towards an Optimization of Stimulus Parameters for Brain-Computer Interfaces Based on Steady State Visual Evoked Potentials A. Duszyk, M. Bierzyńska, Z. Radzikowska, P. Milanowski, R. Kuś, P. Suffczyński, M. Michalska, M. Łabęcki, P. Zwoliński, P. Durka. PLoS One 9(11): e112099, Nov 2014
BCI CONTROL PANEL
One of the BrainTech software aspects that makes experimental research easier is BCI Control Panel designed based on decades of experience and mistakes made in scientific work, education and during demonstrations.
BCI Control Panel helps control core system parameters in real time: from signal quality and electrode impedance, through averaged evoked potentials obtained in runs performed so far, to high-level indicators of quality of BCI calibration and communication, including classifier decision separation, ROC fields and ITR.
It happens that a brain-computer interface “does not work”. Why? There might be plenty of reasons: from poorly contacting electrodes and other EEG signal disruptions, through misconfiguring system parameters, to lack of concentration or other reasons attributable to the user. Previously, their analysis required taking a closer look at signals after having them recorded. BCI Control Panel allows for monitoring parameters in real time, rendering it possible to e.g. stop/modify a calibration session or unsuccessful recording at the right moment.
BCI Control Panel demonstrated as part of the “European funds from behind the scenes”.
The material starts at 2:00 of the recording.