PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The system for EMG and MMG singals recording for the bioprosthetic hand control

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The process of biosignal acquisition has a significant impact on the reliability of the control of the multi-functional hand prosthesis. The paper discusses the nature of EMG and MMG signals and noise associated with their registration. The measuring system developed on the basis of these premises, as well as the measurement procedure are described.
Słowa kluczowe
Twórcy
  • Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology, ul.  Janiszewskiego 11/17, Wrocław, Poland
  • Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology, ul.  Janiszewskiego 11/17, Wrocław, Poland
autor
  • Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology, ul.  Janiszewskiego 11/17, Wrocław, Poland
Bibliografia
  • [1] E. Biddiss, T. Chau, “Upper-limb prosthetics: Critical factors in device abandonment”, American J. of Physical Medicine and Rehabilitation, vol. 86, no. 12, 2007, 977–87.http://dx.doi.org/10.1097/PHM.0b013e3181587f6c.
  • [2] B. Hudgins, P. Parker, R. N. Scott, “A new strategy for multifunction myoelectric control”, IEEE Trans. Biomed. Eng., vol. 40, 1993, no. 1, 82–94.http://dx.doi.org/10.1109/10.204774.
  • [3] A. Wołczowski, “Smart hand: the concept of sensor based control”. In: Proceedings of MMAR conference, Miedzyzdroje, 2001, 783–790.
  • [4] A. Wołczowski, M. Kurzyński, “Human-machine interface in bioprosthesis control using EMG signal classification”, Expert Systems, vol. 27, 2010, no. 1, 53–70.http://dx.doi.org/10.1111/j.1468-0394.2009.00526.x.
  • [5] A. Wolczowski, J. Jakubiak, “Control of a multi-joint hand prosthesis – an experimental approach”. In: Proc 9th Int Conf Computer Recognition Systems CORES 2015, ser. Advances in Intelligent Systems and Computing. Springer International Publishing, 2016, chapter 52, 553–563.http://dx.doi.org/10.1007/978-3-319-26227-7_52.
  • [6] M. Kurzynski, M. Krysmann, P. Trajdos, A. Wolczowski, “Multiclassifier system with hybrid learning applied to the control of Bioprosthetic hand”, In: Computers in Biology and Medicine, vol. 69, 2016, 286–297, 2016.http://dx.doi.org/10.1016/j.compbiomed.2015.04.023.
  • [7] A. Wolczowski, M. Kurzynski, “Control of hand prosthesis using fusion of biosignals and information from prosthesis sensors”. In: Computational Intelligence and Efficiency in Engineering Systems. Eds. G. Borowik, chapter 19, Springer Int. Publishing, 2015, 259–273. http://dx.doi.org/10.1007/978-3-319-15720-7_19.
  • [8] M. Kurzynski, A. Wolczowski, “Multiple Classifier System Applied to the Control of Bioprosthetic Hand Based on Recognition of Multimodal Biosignals”. In: Proc. of 15th Int. Conf. on Biomedical Engineering, chapter 147, Springer Int. Pub., 2014, 577–580.http://dx.doi.org/10.1007/978-3-319-02913-9_147.
  • [9] Y. Su, C.R. Allen, A. Wołczowski, G.D. Bell, “Telerobotic control using instructions from human hand motion”. In: Robot Control 2003. (SYROCO ’03). Proc 7th IFAC Symposium, vol. 2, ed. by I. Dulęba and J. Z. Sąsiadek. Oxford, UK, Elsevier, 2004, 527–532.http://dx.doi.org/10.1016/S1474-6670(17)33448-1.
  • [10] M. Kurzynski, A. Wolczowski, T.G. Amaral, “Control of bioprosthetic hand based on EMG and MMG signals recognition using multiclassifier system with feedback from the prosthesis sensors”. In: Proc. of 2nd Int. Conf. on Sys. and Cont.,
  • [11] Marrakech, Morocco, June 2012, 280–285.[11]T.V. Camata, J. L. Dantas, T. Abro, et al., “Fourier and wavelet spectral analysis of EMG signals in supramaximal constant load dynamic exercise”. In: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, August 2010, 1364–1367.http://dx.doi.org/10.1109/IEMBS.2010.5626743.
  • [12] N. F. Güler, S. Kocer, “Classification of EMG signals using PCA and FFT”, Journal of Medical Systems, vol. 29, no. 3, 241–250, 2005.http://dx.doi.org/10.1007/s10916-005-5184-7.
  • [13] A. Cichocki, R. Zdunek, A. Phan, S. Amari, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation, Wiley and Sons, 2009.http://dx.doi.org/10.1002/9780470747278.
  • [14] H. M. Al-Angari, G. Kanitz, S. Tarantino, C. Cipriani,“Distance and mutual information methodsfor EMG feature and channel subset selection for classification of hand movements”, Biomedical Signal Processing and Control, vol. 27,May 2016, 24–31. http://dx.doi.org/10.1016/j.bspc.2016.01.011.
  • [15] A. Wołczowski, J. S. Witkowski, Stanowisko badawcze do akwizycji biosygnałów, Report of the Institute of Computer Engineering, Control and Robotics of Wroclaw University of Technology 2013, Ser. PRE no. 47, Wrocław, 2013. (in Polish)
  • [16] W. Sobczak, W. Malina, Metody selekcji i redukcji informacji, WNT, Warsaw, 1985. (in Polish)
  • [17] C.J. De Luca, Electromyography. Encyclopedia of Medical Devices and Instrumentation, John Wiley Publisher, 2006, 98–109.
  • [18] bebionic, http://bebionic.com/the_hand/grip_patterns/key_grip
  • [19] ottobock, http://www.ottobock.pl/
  • [20] delsys http://www.delsys.com/
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-27229fd5-6b50-43af-8f37-eb9e576533f6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.