Ing. Jakub Šťastný Ph.D.

assistant professor at the Biosignal Laboratory, Department of Circuit Theory,
Faculty of Electrotechnical Engineering, Czech Technical University, Prague
email: stastnj1 <at> seznam <dot> cz

Brain-Computer Interface research supervision, FPGA Laboratory (part of the Biosignal Laboratory) supervision
page last updated on the 14th of January, 2012

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Máte zajímavý výzkumný problém, potřebujete na FPGA navrhnout strukturu pro číslicové zpracování signálu či podobné účely? Pak můžete využít možnosti zadat na našem pracovišti diplomovou či bakalářskou práci! Více viz níže.
Do you have an interesting research problem, do you need to design an FPGA system? You can ask our students and let them to solve it in the frame of their bachelor or diploma theses, then! See below for more information.
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Brief Curriculum Vitae:

Born at 4th of August, 1978 in Prague
Study:

1992-1996: Advanced Secondary Vocational School of Electrotechnical Engineering, Praha 2, Jecna 30

1996-2002: Czech Technical University, Faculty of Electrotechnical Engineering, Department of Computer Sciences and Engineering & Department of Circuit Theory (graduated February 2002)

May 2001: Dean's award for the "EEG Signal Classification" contribution at the international student conference Poster 2001
June 2001: one-month visit at Johannes Kepler Universität, Linz, Austria - Department of Mathematics, Fuzzy Logic Laboratorium Linz
November 2001: Awarded by Hlavka's prize for the best university students and young scientists at the Czech National academy for sciences
2002-2006: PhD study, Department of circuit Theory, Faculty of Electrotechnical Engineering, Czech-Technical University in Prague (graduated January 2006)
2006-now: assistant professor, Department of circuit Theory, Faculty of Electrotechnical Engineering, Czech-Technical University in Prague

Professional experiences:

1994-2000: Czech Television: technological software programmer (newscast satellite receiving processing, various proprietary network protocols implementation, fast image conversion routines, intranet server for VPS code broadcasting monitoring, etc.)

1999-now: ASICentrum, s.r.o.: Project Manager (digital ASIC design - DSP applications, FPGA prototyping), Mentor Graphics certified Application Engineer

Interests:

BCI research, applications of HMM with EEG signal classification
DSP systems & algorithms

My Publications

Most of the listed publications were supported by the research program Transdisciplinary Research in Biomedical Engineering No. MSM 210000012, Transdisciplinary Research in Biomedical Engineering II No. MSM 684 0770012 of the Czech University in Prague, and the Grant GACR 102/03/H085: Biological and Speech Signal Modelling.

The brain-computer interface research takes place at the Biosignal Laboratory, Department of circuit Theory, Czech Technical University in Prague.

All the publications enlisted here are available - if there is any need for any of them and the fulltext is not here, ask me for it.

Brain-Computer Interface:

J. Šťastný , P. Sovka, and A. Stančák, Distal-proximal motion classification from EEG signals, in Analysis of Biomedical Signals and Images, 15-th Biennial International EURASIP Conference BIOSIGNAL 2000, Brno, Czech Republic, pp. 112 114, June 2000.
J. Šťastný , P. Sovka, and A. Stančák, EEG signal classification and segmentation by means of hidden markov models, in Analysis of Biomedical Signals and Images, 16-th Biennial International EURASIP Conference BIOSIGNAL 2002, Brno, Czech Republic, pp. 415 417, June 2002.
J. Šťastný , P. Sovka , Cross-language experiment, Radioengineering, vol. 12, no. 3, pp. 37 41, 2003.
J. Šťastný , P. Sovka, and A. Stančák, EEG signal classification: Introduction to the problem, Radioengineering, vol. 12, no. 3, pp. 51 55, 2003.
J. Šťastný, EEG signal classification, in Proceedings, 14th Congress of Pathological and Clinical Physiology, Hradec Králové, Czech Republic, pp. 60 61, September 2002.
J. Šťastný , P. Sovka, and A. Stančák, EEG signal classification, in Abstract book, 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology, Istanbul, Turkey, p. 132, October 2001.
J. Šťastný, Analysis of states in EEG signals, Master's thesis, FEE CTU Prague, Department of circuit theory, 2001. (in Czech).
P. Sovka, R. Čmejla, J. Šťastný, and J. Králík, Biological ans Speech Signals Processing, in Signal Processing, 17th seminar, 4th December 2002.
J. Šťastný, EEG signal classification, in Analysis and Signal Processing II, Seminar of the Department of Circuit Theory, Prague, Czech Republic, pp. 123-129, Juni 2002.
J. Šťastný, Linear transforms and EEG signal parametrization, in Analysis and Signal Processing III, Seminar of the Department of Circuit Theory, Prague, Czech Republic, pp. 123-129, January 2003. (Analysis of PCA transform of existing EEG, the usage of ICA for BCI processing is suggested in the end)
J. Šťastný, State of the art of the brain-computer interface, in Analysis and Signal Processing IV, Seminar of the Department of Circuit Theory, Prague, Czech Republic, pp. 149-155, Juni 2003. (detailed analysis of existing BCIs)
J. Šťastný, The Evolution of Human Brain Functional Mapping Methods. HS7 - POSTER 2004
J. Šťastný, The Influence Of The Sampling Error On The Surface Filtration Of EEG Signal. IC51 - POSTER 2004
Jakub Šťastný, P. Sovka, and A. Stančák. Towards Brain-Computer Interface: Analysis of EEG Accompanying Thumb and Little Finger Flexions. In Applied Electronics, Applied Electronics, pages 204-207, September 2004
J. Šťastný, P. Sovka, and A. Stančák. Towards Brain-Computer Interface: Analysis of EEG Accompanying Thumb and Little Finger Flexions. In Proceedings of the Polish-Czech-Hungarian Workshop 2004, pages 106-111, September 2004
J. Šťastný and P. Sovka, Fractional Delay of EEG Signal , in Matlab 2004, pp. 569-574, November 2004 (in Czech)
J. Šťastný. Analysis of EEG accompanying right thumb and little finger flexions, in Analysis and Signal Processing II, Seminar of the Department of Circuit Theory, Prague, Czech Republic, pp. 148-160, December 2004.
J. Šťastný, P. Sovka. Compensation of the channel time multiplex of the EEG recording machine (Kompenzace časového multiplexu kanálů EEG přístroje), lecture at the EEG seminar, Medical Faculty in Hradec Kralove, The Charles University, 15th December 2004
J. Šťastný, J. Zejbrdlich and P. Sovka. Optimal Parameterization Selection for the Brain Computer Interface. In: Proceedings of the 4th WSEAS International Conference of Applications of Electrical Engineering, pp. 300-304, 15th March 2005
J. Šťastný, Compensation of the EEG recording channel time multiplex, in Analysis and Signal Processing VI, Seminar of the Department of Circuit Theory, Prague, Czech Republic, pp. 92-101, January 2005 Presentation
J. Šťastný, J. Mlynář , P. Sovka. The Influence of the EEG Recording Machine Time Multiplex On The Laplacian Filter: The Simulation With The Real Shaped Head Model. topic: Biomedical Signal Processing, session symposia: SS97 (SS89 IX. Mo, SS89 IX. Tu, SS89 IX. We) Biomedical Signal Processing IX. 3rd European Medical and Biological Conference on Biomedical Engineering. EMBEC 2005, Prague , pg. 364-367 in the Proceedings
J. Doležal, J. Šťastný, P. Sovka. Recognition of Direction of Finger Movement From EEG Signal Using Markov Models. topic: Brain and Neural Engineering, session symposia: SS105 (SS104 II.) Brain, Neural and Neuromuscular Systems II. 3rd European Medical and Biological Conference on Biomedical Engineering. EMBEC 2005, Prague , pg. 336-341 in the Proceedings
O. Konopka, J. Šťastný, P. Sovka. Movement-Related EEG Separation Using Independent Component Analysis. topic: Biomedical Signal Processing, session symposia: SS33 Ch. J. James - Blind Source Separation / Independent Component Analysis in Biomedicine (Special Session). 3rd European Medical and Biological Conference on Biomedical Engineering. EMBEC 2005, Prague , pg. 250-255 in the Proceedings
Šťastný, J.: BCI Research. [Unpublished Lecture]. AV ČR, ÚRE. 2006-01-11. (in Czech).
J. Šťastný , P. Vrchota and P. Sovka, EEG-based Biometric Person Identification, in Analysis of Biomedical Signals and Images, 18-th Biennial International EURASIP Conference BIOSIGNAL 2006, Brno, Czech Republic, pp. 76-78, June 2006.
Presentation
J. Doležal, J. Šťastný, P. Sovka, Modelling and Recognition of Movement Related EEG Signal . In Applied Electronics, Applied Electronics, pages 27-30, September 2006. ISBN 80-7043-442-2.
Presentation - slides.
J. Šťastný, P. Sovka, The 3D approach to the surface Laplacian filtering with integrated sampling error compensation. Elsevier Signal Processing, pages 51 - 60. January 2007.
J. Šťastný, L. Ručkay, P. Sovka, Research and development of EEG classification algorithms, in Trends in Biomedical Engineering, Kladno, Czech Republic, pp. 174-177, Presentation
M. Cempírek, J. Šťastný, The optimization of EEG-based biometric classification, In Applied Electronics, Applied Electronics, Plzeň, Czech Republic, pp. 25-29, September 2007. presentation

J. Šťastný, P. Sovka, The Large Laplacian filter with integrated sampling error compensation - evaluation on the real EEG dataset, Presentataion at the 54th Joint Meeting of the Czech and Slovak society for clinical neurophysiology, October 2007.
J. Šťastný, P. Sovka, High-resolution Movement EEG Classification, Computational Intelligence and Neuroscience, vol. 2007, Article ID 54925, doi: 10.1155/2007/54925
L. Ručkay, J. Šťastný, P. Sovka, ICA Model Order Estimation Using Clustering Method. Radioengineering, vol. 16, no. 4. Special Issue: Advanced Digital Signal Processing, pp. 51-57, 2007.
L. Ručkay, J. Šťastný, and P. Sovka, Selection and Classification of EEG Movement-Related Independent Components, in Analysis of Biomedical Signals and Images, 19-th Biennial International EURASIP Conference BIOSIGNAL 2008, Brno, Czech Republic, June 2008.
Presentation
J. Doležal, J. Šťastný, and P. Sovka, Classification Algorithms Comparison for EEG Movement Recognition, in Analysis of Biomedical Signals and Images, 19-th Biennial International EURASIP Conference BIOSIGNAL 2008, Brno, Czech Republic, June 2008.
Presentation
L. Ručkay, J. Šťastný, P. Sovka, Independent Component Analysis of Movement-Related EEG and Classification of Selected Components. In Applied Electronics 2008. Plzeň: ZČU Plzeň, 2006, p. 175-178. ISBN 987-80-7043-654-7.
Presentation
J. Doležal, J. Štastný, P. Sovka, Exploitation of the EEG temporal dynamics in the field of BCI (Využitelnost casové dynamiky EEG pro BCI). 55th joint meeting of the Czech and Slovak society for clinical neurophysiology (55. Společný sjezd Ceské a Slovenské spolecnosti klinické neurofyziologie). Hradec Králové. November 2008, pg. 16.
Poster
J. Šťastný,Brain-Computer Interface with an automatic user identification, Utility Model no. 19972, application no. 2009-21380, accepted on the 24th of August, 2009, Industrial Property Office
J. Doležal, J. Šťastný, P. Sovka, Recording and recognition of movement related EEG signal. In Applied Electronics, Applied Electronics, pp 95-98, September 2009. ISBN 978-80-7043-781-0
Presentation
K. Nazarpour, J. Šťastný, R. C. Miall, ssMRP state detection for brain computer interfacing using hidden Markov models. In Proceedings of IEEE/SP 15th Workshop on the Statistical Signal Processing, 2009. SSP '09, Cardiff, pg. 29-32, August 2009.
J. Šťastný, J. Doležal, V. Černý, J. Kubový. Design of a modular brain-computer interface. In Applied Electronics, Applied Electronics, pp 319-322, September 2010. ISBN 978-80-7043 -865-7
J. Šťastný, J. Doležal, V. Černý, J. Kubový. Design of a modular brain-computer interface. In Electroscope, October 2010. ISSN 1802-4564
J. Doležal, J. Šťastný, V. Černý, J. Kubák. Real Time EEG processing. 57. společný sjezd české a slovenské společnosti pro klinickou neurofyziologii, proceedings, pp. 49, 21.11.2010.
Biofeedback demonstration - video
Arkanoid demonstration - video

Podívejte se na demonstrační video rozhraní mozek-stroj (Brain-Computer Interface) vyvinutého na naší katedře. Dobrovolník se díky biologické zpětné vazbě postupně naučí ovládat své mozkové vlny a následně jimi ovládat jednoduchou hru. Systém detekuje představy pohybů levé či pravé ruky na základě snímaného EEG a překládá je na pohyby hráče. Rozhraní tohoto druhu najde využití u těžce pohybově postižených osob, různých mozkových dysfunkcí (EEG biofeedback) ale i v oblasti zábavy. Video je přehráváno čtyřikrát rychleji.
Watch a demonstration video of an Brain-Computer Interface developed at our department. The volunteer is able to learn how to control his brain waves thanks to biofeedback and consecutively use them to play a simple game. The system detects imagery of left and right hand movements in the scalp EEG and translates it to player movements. This kind of interface can be used by disabled subjects, for treatment of various types of brain dysfunctions (EEG biofeedback) as well as for entertainment purposes. The video is played four times the real speed.

J. Doležal, V. Černý, J. Šťastný. Constructing a Brain-Computer Interface. In Applied Electronics, Applied Electronics, pp 99-102, September 2011. ISBN 978-80-7043-987-6
presentation
J. Doležal, J. Šťastný, P. Sovka, Exploiting temporal context in high-resolution movement-related EEG classification. Radioengineering, vol. 20, no. 3, pp. 666-676, 2011.
J. Šťastný. MEET: Modular EEG Processing Toolbox. In Technical Computing, pp 109, November 8, 2011. ISBN 978-80-7080-794-1.

Fuzzy Logic:

M. Navara and J. Šťastný, Enhancement of Mamdani fuzzy controller, in Proceedings, EUSFLAT 2001, De Montfort University, Leicester, UK, pp. 168 170, 2001.
M. Navara and J. Šťastný, Properties of fuzzy controller with conditionally firing rules, in Frontiers in Artificial Intelligence and Applications, Proceedings, E-ISCI 2002, Košice, Slovakia, pp. 111 116, June 2002.

DSP Systems and digital logic design:

Other (non-research - "popular science"):

J. Králík, P. Sovka, A. Stančák, and J. Šťastný, Computer, which is able to read thoughts. Computerworld, no. 2, pp. 24-25, 2003 (XIV). (some popular discussion on BCI and its applications)

J. Šťastný, Hidden power of mobile networks, Computerworld, no. 34, p. 26, 2003 (XIV). (how to use the idling mobile phone for distributed computing - mobile phone grid, its profitability and performance)

J. Šťastný, Evolution of computer viruses, Computerworld, no. 36, p. 27, 2003 (XIV). (the dark and stormy future of computer networks)
J. Šťastný, P. Sovka, A. Stančák, P. Bočan, Brain-computer interface (rozhraní mozek-počítač), Česká hlava a svět vědy, no. 5, pp. 18-21, 2004 (II) (popular-science explanation of the brain computer interface concept)
J. Šťastný, Open Source Hardware, Computerworld, no. 35, p. 25-26, 2004 (XV). (reconfigurable hardware is the future of the PC world)

Unpublished research reports:

J. Šťastný, Z2003-3:State-of-the-art of BCI interface, unpublished research report, FEE CTU Prague, 2003.

J. Šťastný, Z2000-4:Signal source selection for EEG signal classification, unpublished research report, FEE CTU Prague, 2000.

J. Šťastný, Z2000-3:EEG classification parameter optimization, unpublished research report, FEE CTU Prague, 2000.

J. Šťastný, Z2000-2:Automatic stochastic realizations distributions for classification, unpublished research report, FEE CTU Prague, 2000.

J. Šťastný, P. Sovka, and A. Stančák, Z99-2:Extension and Flexion movements: analysis and classification, unpublished research report, FEE CTU Prague, 1999.

J. Šťastný, P. Sovka, and A. Stančák, Z99-1:Distal and Proximal movements: analysis and classification, unpublished research report, FEE CTU Prague, 1999.
J. Šťastný, Ctu-cmp-2001-04: Mamdani and CFR regulator comparison, unpublished research report, FEE CTU Prague, Center for Machine Perception, 2001.
J. Šťastný, Z05-8: LaBiS annual report for the BCI research and FPGA laboratory: activities, reached results and visions in the 2004-2005 school year (Výroční zpráva LaBiS pro BCI výzkum a FPGA laboratoř: Aktivity, výsledky a vize ve školním roce 2004-2005)
J. Šťastný, Z06-2: Analysis of index and little finger movement-related EEG parameters. FEE CTU Prague 2006
J. Doležal, J. Šťastný, Z07-1: Analysis of the Hidden Markov Models. FEE CTU Prague, 2007
M. Cempírek, J. Šťastný, Z07-2: EEG-based biometric autentization, FEE CTU Prague, 2007
J. Doležal, J. Šťastný, Z07-3: Wavelet-transform based optimization of the EEG classification. FEE CTU Prague, 2007
M. Dřínovský, J. Šťastný, R07-4: Serial Arithmetic IP Cores. FEE CTU Prague, 2007
M. Dřínovský, J. Šťastný, R07-5: Serial FIR Filter. FEE CTU Prague, 2007
J. Šťastný, P. Sovka, R07-6: High-Resolution Movement EEG Classification, 2007
L. Ručkay, T. Kubec, J. Šťastný, Z08-2: The design of the FPGA VHDL verification environment, FEE CTU Prague 2008
L. Ručkay, J. Šťastný, P. Sovka, R09-2: Evaluation of the Experiment Results fro HMM-based EEG Classification Task, FEE CTU Prague, 2009

Participation on Textbooks

J. Uhlíř, P. Sovka, and R. Čmejla: Introduction to the digial signal processing, Appendix B, pp. 137-142. CTU FEE, 1st ed., 2003. Appendix deals with the real implementation of the DSP hardware on FPGA systems.
P. Sovka and P. Pollak, Selected methods for signal processing, Chapter 3.4 and 13, Appendix A, Appendix B CTU FEE, 1st ed., 2003. The chapters 3.4 is about the real implementation of decimation hardware on FPGA (Hogenauer's CIC filter), chapter 13 and appendices contains in-depth PCA tutorial.
J. Šťastný: FPGA Prakticky, BEN Praha 2010 (200 stran)

Known works citing our works

M.S.K. Awan, M.M. Awais: Data Mining - Redefining the Boundaries. In Proceedings of the International Conference on Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS, Amman, Jordan, 13-16 May 2007, pp. 416-423 (WOS citation, citing our work from Istanbul)
W. H. Dai and X. D. Zhang: Design of the system of brain-computer interface driving neural prosthesis hand. Key engineering materials, Volume 392-394, 2009, pp. 1012-1018 (WOS citation, citing our work from Istanbul)
Bagus Haryadi, Suprijanto, Farida Idealistina Muchtadi: Development of EEG Pattern Classification Technique Using Multi Layer Perceptron as a Part of Brain Computer Interface. In: International Conference on Instrumentation, Communication, and Information Technology. Bandung, Indonesia. August 8-9, 2007. (citing our work from Radioengineering on EEG classification, by Jakub Šťastný)
Buckley, M (Buckley, Martin)1; Vaidyanathan, R (Vaidyanathan, Ravi); Mayol-Cuevas, W (Mayol-Cuevas, Walterio). Sensor Suites For Assistive Arm Prosthetics. 2011 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) Book Series: IEEE International Symposium on Computer-Based Medical Systems Published: 2011 (WOS citation)
Chao, S., Wong, F., Lam, H.-L., Vai, M.-I. Blind biosignal classification framework based on DTW algorithm. Proceedings - International Conference on Machine Learning and Cybernetics Volume 4, 2011, Article number 6017023, Pages 1684-1689 ISSN: 2160133X ISBN: 978-145770306-5 DOI: 10.1109/ICMLC.2011.6017023 2011 International Conference on Machine Learning and Cybernetics, ICMLC 2011; Guilin, Guangxi; 10 July 2011 through 13 July 2011; Category number CFP11523-PRT; Code 87140 (SCOPUS citation, citing our work from Istanbul)
Gerigan, C.a , Ogrutan, P.a , Aciu, L. Remote EEG monitoring (2009) SIITME 2009 - 15th International Symposium for Design and Technology of Electronics Packages, art. no. 5407359, pp. 271-276. http://www.scopus.com/inward/record.url?eid=2-s2.0-77949279552&partnerID=40&md5=4d432efa4a5b1a9a55ba9b3b3a2b5eeb ISBN: 9781424451333 DOI: 10.1109/SIITME.2009.5407359 (SCOPUS citation)
Malik Shahzad Kaleem and Mian Muhammad Awais: Data Mining - Redefining the Boundaries. In: 2007 IEEE/ACS International Conference on Computer Systems and Applications, pp. 416-423 (WOS citation, citing our publication from Istanbul, by Jakub Šťastný)
Ros S. S. A. Kadir, et al. Analysis of Correlation between Body Mass Index (BMI) and Brain wave using EEG for Alpha and Beta Frequency Band,CSPA: 2009 5TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS Pages: 278-283 Published: 2009 (WOS citation, citing Istanbul)
Reeta J Korhonen,et al. Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING Volume: 49 Issue: 4 Pages: 397-407 DOI: 10.1007/s11517-011-0748-9 Published: APR 2011 (WOS citation, citing our work from Radioengineering - ICA model order)
B. Moser and M. Navara, Fuzzy controllers with conditionally firing rules, IEEE Trans. Fuzzy Systems, vol. 10, no. 3, pp. 340 348, 2003. (citing our work from EUSFLAT 2001)
Aydemir Onder; Kayikcioglu Temel. Wavelet Transform Based Classification of Invasive Brain Computer Interface Data. 33rd International Conference on Telecommunication and Signal Processing Location: Vienna, AUSTRIA Date: AUG 17-20, 2010 (WOS citation, citing our work from Radioengineering - ICA model order)
J. Pang: Fixed-Point audio notch filter design. In: Proceedings of the ESA'08 - The 2008 International Conference on Embedded Systems and Applications,M onte Carlo Resort, Las Vegas, Nevada, USA (July 14-17, 2008), pp. 274-278. (citing our work from Radioelektronika on IIR quantization feedback)
Palumbo, A.a , Amato, F.a , Calabrese, B.a , Cannataro, M.a , Cocorullo, G.b , Gambardella, A.c d , Guzzi, P.H.a , Lanuzza, M.b , Sturniolo, M.c , Veltri, P.a , Vizza, P.a An embedded system for EEG acquisition and processing for brain computer interface applications (2010) Lecture Notes in Electrical Engineering, 75 LNEE, pp. 137-154.http://www.scopus.com/inward/record.url?eid=2-s2.0-78651548984&partnerID=40&md5=fc1b94d10533bc294fe9e468e0040f90 (SCOPUS citation)
Pan, Y.a , Goh, Q.Z.b , Ge, S.S.c d , Tee, K.P.a , Hong, K.-S.d. Mind robotic rehabilitation based on motor imagery brain computer interface (2010) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6414 LNAI, pp. 161-171. http://www.scopus.com/inward/record.url?eid=2-s2.0-78649949086&partnerID=40&md5=2857a97d2dad83de198d625a3a2303d6 ISSN: 03029743 ISBN: 3642172474; 9783642172472 DOI: 10.1007/978-3-642-17248-9_17 (SCOPUS citation)
L. Pickup, Machine learning approaches for brain-computer interfacing, technical report PARG-02-01, tech. rep., Pattern analysis and machine leraning group, Robotics Research Group, Department of engineering science, University of Oxford, May, 2002. (citing our publication from Istanbul)
Hasan Bashar Awwad Shiekh ; Gan John Q. Conditional random fields as classifiers for three-class motor-imagery brain-computer interfaces. JOURNAL OF NEURAL ENGINEERING Volume: 8 Issue: 2 Special Issue: SI Article Number: 025013 DOI: 10.1088/1741-2560/8/2/025013 Published: APR 2011 (WOS citation, citing Radioengineering 2003)
Hasan Bashar Awwad Shiekh, Gan John Q. Temporal modeling of EEG during self-paced hand movement and its application in onset detection. Source: JOURNAL OF NEURAL ENGINEERING Volume: 8 Issue: 5 Article Number: 056015 DOI: 10.1088/1741-2560/8/5/056015 Published: OCT 2011 (WOS citation citing our work from Istanbul)
H. Valentova and J. Havlik. Initial Analysis of the EEG Signal Processing Methods for Studying Correlations between Muscle and Brain Activity. Conference: 1st International Conference on Information Technology in Bio- and Medical Informatics Location: Bilbao, SPAIN Date: SEP 01-02, 2010 Source: INFORMATION TECHNOLOGY IN BIO- AND MEDICAL INFORMATICS Book Series: Lecture Notes in Computer Science Volume: 6266 Pages: 220-225 Published: 2010 (WOS citation)
Aleksandra Vuckovic and Francisco Sepulveda. Delta band contribution in cue based single trial classification of real and imaginary wrist movements. Medical and Biological Engineering and Computing, Volume 46, Number 6, June, 2008. pp. 529-539. (WOS citation, citing our work from Istanbul, bad spelling of my surname - STANSTNY)
Xiaodong Zhang, Weifeng Diao, and Zhiqiang Cheng: Wavelet Transform and Singular Value Decomposition of EEG Signal for Pattern Recognition of Complicated Hand Activities, Lecture Notes in Computer Science, Volume 4561/2007, In: Digital Human Modeling, Subject Collection Computer Science (WOS citation, citing our publication from Istanbul, by Jakub Šťastný)
Xiaodong Zhang, Weifeng Diao, and Zhiqiang Cheng: An EEG based approach for pattern recognition of precise hand activities with data fusion technology. In: Proceedungs of the 33rd Annual Conference of the IEEE-Industrial-Electronics-Society Taipei, TAIWAN, NOV 05-08, 2007, pp. 2423-2428. (WOS citation, citing our publication from Istanbul, by Jakub Šťastný)

Supervised technical and research reports

L. Ručkay, Z05-1: Implementation of the moving average filter on the FPGA, FEE CTU Prague 2005
L. Ručkay, Z05-2: FPGA Implementation of the MAC unit, FEE CTU Prague 2005
L. Ručkay, Z05-3: The design of the FPGA VHDL verification environment, FEE CTU Prague 2005
P. Vrchota, J. Šťastný, Z05-4: The inter-personal EEG variability, utilization for biometric application, FEE CTU Prague 2005
M. Bártů,Z05-6: Demo of the UART XILINX FPGA macro block + Matlab communication framework, FEE CTU Prague, 2005
J. Doležal, Z05-7: Statistical analysis of the extension and flexion movement-related EEG (Statistická analýza EEG signálu extenzních a flexních pohybů)
P. Bílý, J. Šťastný,Z06-1: PicoCTRL - controler, PicoCTRL - řadič. FEE CTU Prague 2006

Supervised Bachelor thesis (see the research and teaching page for the full texts and design outputs)

V. Balco, The comparison of the EEG power spectral densities between experimental subjects, FPGA Laboratory, September 2007
J. Fíla, Programmable vibration device, CTU FEE, Department of circuit theory, FPGA Laboratory, June 2010

Š. Kortus, Detection of visual ERP, CTU FEE, Department of circuit theory, FPGA Laboratory, June 2010
T. Kubec, VGA Controller - the 2nd generation, CTU FEE, Department of circuit theory, FPGA Laboratory, September 2007

J. Kubák, Realizace programovatelného PWM modulátoru na obvodu FPGA, FPGA Laboratory, June 2011
J. Kubový, Real-time EEG network transmission, CTU FEE, Department of circuit theory, FPGA Laboratory, June 2009
J. Kudělka, Software for Cryptography, CTU FEE, Department of circuit theory, FPGA Laboratory, September 2007
M. Dřínovský, Serial Finite Impulse Response Filter Design, CTU FEE, Department of circuit theory, FPGA Laboratory, September 2008

Supervised Master's thesis (see the research and teaching page for the full texts and design outputs)

V. Balco, Subject identification by means of EEG signal, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2009
M. Bártů, The analysis of Kohonen's maps possible implementations, CTU FEE, Department of circuit theory, Biological Signal Laboratory, February 2006 (I was a consultant of this work, not the supervisor; the work was supervised by Jana Tuckova, assoc. prof.)
P. Bílý, Analysis of Voice Activity Detector and Speech Enhancer Implementation on FPGA, CTU FEE, Department of circuit theory, FPGA Laboratory, February 2007
M. Dobiáš, Application of independent component analysis in the BCI field,CTU FEE, Department of circuit theory, FPGA Laboratory, June 2011
J. Doležal,, Optimalization of the EEG-based movement classification, CTU FEE, Department of circuit theory, Biological Signal Laboratory, February 2008
M. Cempírek, EEG-based subject identification II, CTU FEE, Department of circuit theory, Biological Signal Laboratory, February 2008
M. Heger, Parallel FIR filter implementation, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2009
J. Janík, Serial Interface Evaluation Board, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2009
O. Konopka, The analysis of the EEG separation impact on the movement classification, CTU FEE, Department of circuit theory, Biological Signal Laboratory, February 2005
M. Kostílek, EEG signal processing using an adaptive filtering, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2011
T. Kubec, An intelligent VGA controller, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2009
J. Kudělka, AD/DA converter interface, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2009
P. Malý, Digit serial implementation of an FFT, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2010
J. Palaščák, Programmable FFT core, CTU FEE, Department of circuit theory, Biological Signal Laboratory, June 2010
L. Ručkay, Implementation of IIR filter - biquadratic section - on the FPGA, CTU FEE, Department of circuit theory, FPGA Laboratory, February 2005
P. Vrchota, EEG-based subject identification, CTU FEE, Department of circuit theory, Biological Signal Laboratory, February 2006

Supervised PhD students

L. Ručkay, EEG Decomposition for simple movement classification, CTU FEE, Department of circuit theory, FPGA Laboratory, October 2010

Ing. Jakub Šťastný Ph.D.

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