Email: andrzej.wolczowski@pwr.edu.pl

Unit: Faculty of Electronics, Photonics and Microsystems (N) » Department of Field Theory, Electronic Circuits and Optoelectronics

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 106
phone +48 71 320 2726

Office hours

• Tuesday 12.00-14.00

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Recent papers

2017

• Wołczowski A., Błędowski M., Witkowski J., The system for EMG and MMG signals recording for the bioprosthetic hand control. Journal of Automation, Mobile Robotics & Intelligent Systems. 2017, vol. 11, nr 3, s. 22-29.
• Wołczowski A., Zdunek R., Electromyography and mechanomyography signal recognition: Experimental analysis using multi-way array decomposition methods. Biocybernetics and Biomedical Engineering. 2017, vol. 36, nr 1, s. 103-113.
• Wołczowski A., Głębocki M., Jakubiak J., Sensing feedback for the control of multi-joint prosthetic hand. Advances in Systems Science: Proc. of the Int. Conf. on Systems Science (ICSS 2016), Springer, cop. 2017. Advances in Intelligent Systems and Computing, vol. 539, s. 232-243.

2016

• Kurzyński M., Krysmann M., Trajdos P.S., Wołczowski A., Multiclassifier system with hybrid learning applied to control of bioprosthetic hand. Computers in Biology and Medicine. 2016, vol. 69, s. 286-297,

2015

• Batog P., Wołczowski A., Chemical scanner for mobile robot navigation. Journal of Automation, Mobile Robotics & Intelligent Systems. 2015, vol. 9, nr 1, s. 5-11.

2014

• Wołczowski A., Kurzyński M., Control of hand prosthesis using fusion of information from bio-signals and from prosthesis sensors. 2014 Asia-Pacific Conf. on Computer-Aided System Engineering (APCASE), 2014. s. 19-24.

2012

• Batog P., Wołczowski A., Semiconductor gas sensors for mobile robot navigation. Przegląd Elektrotechniczny. 2012, R. 88, nr 11b, s. 281-284,

2011

• Wołczowski A., Kurzyński M., Zapłotny P., Concept of a system for training of bioprosthetic hand control in one side handless humans using virtual reality and visual and sensory biofeedback. Journal of Medical Informatics & Technologies. 2011, vol. 18, s. 85-91.

2010

• Wołczowski A., Kurzyński M., Human-machine interface in bioprosthesis control using EMG signal classification. Expert Systems 2010, vol. 27, nr 1, s. 53-70.

Papers in DONA database

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1	Article 2021 Joanna Mencel, Anna Jaskólska, Jarosław Marusiak, Łukasz Kamiński, Marek Kurzyński, Andrzej Wołczowski, Artur Jaskólski, Katarzyna Kisiel-Sajewicz, Motor imagery training of reaching-to-grasp movement supplemented by a virtual environment in an individual with congenital bilateral transverse upper-limb deficiency. Frontiers in Psychology. 2021, vol. 12, art. 638780, s. 1-13. ISSN: 1664-1078 Resources:DOISFX
2	Proceeding paper 2019 Michał Błędowski, Andrzej Wołczowski, Method of sequential classification for pre-grouping hand movements classes for fast labeling process of an electromyographic signals. W: 2019 IEEE Symposium Series on Computational Intelligence : IEEE SSCI 2019, December 6-9, 2019, Xiamen, China. [Piscataway, NJ] : IEEE, cop. 2019. s. 3259-3264. ISBN: 978-1-7281-2485-8; 978-1-7281-2486-5 Resources:DOI
3	Monograph chapter 2019 Paweł Trajdos, Marek Kurzyński, Andrzej Wołczowski, Zastosowanie systemów wieloklasyfikatorowych do rozpoznawania biosygnałów i sterowania bioprotezą dłoni. W: Informatyka w medycynie / red. Marek Kurzyński [i in.]. [Warszawa] : Akademicka Oficyna Wydawnicza EXIT, cop. 2019. s. 883-902. ISBN: 978-83-7837-087-1 Resources:SFX
4	Monograph chapter 2019 Katarzyna Kisiel-Sajewicz, Anna Jaskólska, Andrzej Wołczowski, Jarosław Marusiak, Marek Kurzyński, System komputerowy do treningu korowych ośrodków sensoryczno-motorycznych osób przed przeszczepem ręki wykorzystujący wirtualną rzeczywistość oraz czuciowe i wzrokowe sprzężenie zwrotne. W: Informatyka w medycynie / red. Marek Kurzyński [i in.]. [Warszawa] : Akademicka Oficyna Wydawnicza EXIT, cop. 2019. s. 825-841. ISBN: 978-83-7837-087-1 Resources:SFX
5	Proceeding paper 2019 Marek Kurzyński, Andrzej Wołczowski, EMG and MMG signal recognition using ensemble of one-feature classifiers with pruning via clustering method. W: The 12th International Conference on Advanced Technologies for Communications (ATC), ATC 2019, October 17-19, 2019, Hanoi, Vietnam : Proceedings / eds. Nguyen Canh Minh [i in.]. Danvers, MA : IEEE, cop. 2019. s. 38-43. ISBN: 978-604-67-1396-8; 978-1-7281-2392-9 Resources:DOI
6	Article 2019 Michał Błędowski, Andrzej Wołczowski, Determination of the relationship between EMG signals and hand grips using a commercial myo armband. Journal of Automation, Mobile Robotics & Intelligent Systems. 2019, vol. 13, nr 2, s. 40-47. ISSN: 1897-8649; 2080-2145 Resources:DOISFX
7	Article 2019 Rafał Zdunek, Krzysztof Fonał, Andrzej Wołczowski, Linked CP tensor decomposition algorithms for shared and individual feature extraction. Signal Processing : Image Communication. 2019, vol. 73, s. 37-52. ISSN: 0923-5965 Resources:DOISFX
8	Monograph chapter 2018 Michał Błędowski, Andrzej Wołczowski, Stanowisko rozpoznawania biosygnałów oparte na komercyjnym systemie akwizycji danych = Biosignal recognition station based on a commercial data acquisition system. W: Postępy robotyki / pod red. Krzysztofa Tchonia i Cezarego Zielińskiego. Warszawa : Oficyna Wydawnicza Politechniki Warszawskiej, 2018. s. 535-540. ISBN: 978-83-7814-799-2 Resources:SFX
9	Proceeding paper 2018 Krzysztof Fonał, Rafał Zdunek, Andrzej Wołczowski, Feature-fusion HALS-based algorithm for linked CP decomposition model in application to joint EMG/MMG signal classification. W: 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, China, August 20-24, 2018. [Piscataway, NJ] : IEEE, 2018. s. 928-933. ISBN: 978-1-5386-3787-6; 978-1-5386-3788-3 Resources:DOI
10	Article 2017 Andrzej Wołczowski, Michał Błędowski, Jerzy Witkowski, The system for EMG and MMG signals recording for the bioprosthetic hand control. Journal of Automation, Mobile Robotics & Intelligent Systems. 2017, vol. 11, nr 3, s. 22-29. ISSN: 1897-8649 Resources:DOISFX