B. Michalik, Analiza porównawcza wydajności klasyfikatorów pod nadzorem w realizacji interfejsu mózg-komputer opartego o paradygmat P300, Praca inżynierska, Politechnika Lubelska, Lublin, 2018.
D. Aminaka, S. Makino, T. M. Rutkowski, Chromatic SSVEP BCI paradigm targeting the higher frequency EEG responses, Asia-Pacific Signal and Information Processing Association, Annual Summit and Conference (APSIPA) (2014) 1-7.
DOI: https://doi.org/10.1109/APSIPA.2014.7041761
F. Aloise, P. Aricò, F. Schettini, S. Salinari, D. Mattia, F. Cincotti, Asynchronous gaze-independent event-related potential-based brain–computer interface, Artificial Intelligence in Medicine 59(2) (2013) 61–69.
DOI: https://doi.org/10.1016/j.artmed.2013.07.006
R. A. Robbins, Z. Simmons, B. A. Bremer, S. M. Walsh, S. Fischer, Quality of life in ALS is maintained as physical function declines, Neurology 56(4) (2001) 442–444.
DOI: https://doi.org/10.1212/WNL.56.4.442
T. Cedro, A. Grzanka, CeDeROM Brain Computer Interface, Information Technologies in Biomedicine (2012) 219-231.
DOI: https://doi.org/10.1007/978-3-642-31196-3_22
M. M. Jackson, R. Mappus, Applications for Brain-Computer Interfaces, Brain-Computer Interfaces (2010) 89-103.
DOI: https://doi.org/10.1007/978-1-84996-272-8_6
H. Suryotrisongko, F. Samopa, Evaluating OpenBCI Spiderclaw V1 Headwear’s Electrodes Placements for Brain-Computer Interface (BCI) Motor Imagery Application, Procedia Computer Science 72 (2015) 398–405.
DOI: https://doi.org/10.1016/j.procs.2015.12.155
K. Cieślak-Blinowska, R. Kuś, J. Ginter, Propagation of EEG activity during finger movement and its imagination, Acta Neurobiologiae experimentalis 66 (2006) 195-206.
C. W. Anderson, E.A. Stolz, S. Shamsunder, Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks, IEEE Transactions on Biomedical Engineering 45(3) (1998) 277-286.
DOI: https://doi.org/10.1109/10.661153
M. Kołodziej, A. Majkowski, R. J. Rak, Linear discriminant analysis as a feature reduction technique of EEG signal for brain-computer interfaces, Przegląd Elektrotechniczny 88 (2012) 28-30.
S. Aggarwal, N. Chugh, Review of Machine Learning Techniques for EEG Based Brain Computer Interface, Archives of Computational Methods in Engineering (2022) 1-20.
DOI: https://doi.org/10.1007/s11831-021-09684-6
A. Hulewicz, M. Jukiewicz, Analiza sygnałów EEG na potrzeby interfejsu mózg-komputer, Acta Bio-Optica et Informatica Medica. Inżyneria Biomedyczna 3 (2014) 137-143.
A. Cegielska, M. Olszewski, Nieinwazyjny interfejs mózg-komputer do zastosowań technicznych, Pomiary Automatyka Robotyka 3 (2015) 5-14
DOI: https://doi.org/10.14313/PAR_217/5
