Por favor, use este identificador para citar o enlazar este ítem: http://elartu.tntu.edu.ua/handle/lib/33074
Tytuł: The Method of Selection and Pre-processing of Electromyographic Signals for Bio-controlled Prosthetic of Hand
Authors: Dozorskyi, Vasil
Nykytyuk, Vyacheslav
Dozorska, Oksana
Dediv, Leonid
Yavorska, Evhenia
Affiliation: ТНТУ
Bibliographic description (Ukraine): Oksana Dozorska, Evhenia Yavorska, Vasil Dozorskyi, Vyacheslav Nykytyuk, Leonid Dediv (2020). The Method of Selection and Pre-processing of Electromyographic Signals for Bio-controlled Prosthetic of Hand. Proc. of the 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), 23-26 September 2020, (pp.188–192). Lviv-Zbarazh, Ukraine
Konferencja/wydarzenie: 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)
Data wydania: 2020
Data archiwizacji: 2020
Date of entry: 11-gru-2020
Wydawca: Lviv Polytechnic National University
Kraj (kod): UA
Słowa kluczowe: bio-controlled prosthesis
electrode
electromyographic signal
prosthetic of hand
data pre-processing
Zakres stron: 188-192
Abstract: The method of electromyographic signals selection and pre-processing for the problem of construction of high-functional bio-controlled prostheses of hand is proposed. For this purpose, the design of dry active electrodes with a non-uniform shape of the sensitive surface and the type of their placement on the surface of the forearm are proposed. Electromyographic signals were selected and pre-processed using the method of spectral subtraction. The possibility of identifying the movements of individual fingers by such signals was estimated. For this purpose the Fisher criterion was used.
URI: http://elartu.tntu.edu.ua/handle/lib/33074
ISBN: 978-1-7281-7442-6
Właściciel praw autorskich: Яворська Є.Б., 2020
Дозорська О.Ф., 2020
Дозорський В.Г., 2020
Никитюк В.В., 2020
Дедів Л.Є., 2020
Związane URL literatura: http://sci.ldubgd.edu.ua:8080/bitstream/123456789/7281/1/%D0%A1%D1%82%D0%B0%D1%82%D1%82%D1%8F%20CSIT%20IEEE.pdf
Wykaz piśmiennictwa: A. Savchuk, A. Popov, “Metody ta zasoby intelektualʹnoho upravlinnya protezamy verkhnikh kintsivok” ElectronCommun, Biomedychni prylady ta systemy, pp. 33-42, 2017. (in Ukrainian)
V. Francesco, Tenore and R. Jacob Vogelstein, “Revolutionizing prosthetics: devices for neural integration,” Johns Hopkins APL technical digest, Vol.30, pp. 230-239, 2011.
D. Safin, I. Pil'shchikov, M. Urakseyev, R. Migranova, “Sovremennyye Sictemy upravleniya protezami. Konctruktsii elektrodov i usiliteley biosignalov,” Elektronika dlya meditsiny. Elektronika: nauka, tekhnologiya, biznes, 2009, pp. 60-68. (in Russian)
D.R. Safin, I.S. Pil'shchikov, V.G. Gusev, M.A. Urakseyev, “Otsenka effektivnosti razlichnykh konstruktsiy elektrodov i usiliteley biosignalov v sistemakh upravleniya protezami,” Izvestiya vysshikh uchebnykh zavedeniy, Povolzhskiy region, Tekhnicheskiye nauki, 2009, pp. 88-101. (in Russian)
M. Fifer, G. Hotson, B. Wester, D. McMullen, Y. Wang, M. S. Johannes, “Simultaneous neural control of simple reaching and grasping with the modular prosthetic limb using intracranial EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(3), 2014, pp. 695–705.
B. Jarosiewicz, N.Y. Masse, D. Bacher, S.S. Cash, E. Eskandar, G. Friehs, J.P. Donoghue, and L.R. Hochberg, “Advantages of closedloop calibration in intracortical brain-computer interfaces for people with tetraplegia” J Neural Eng, 10(4), 2013.
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A.A. Chernyshev, N.P. Mustetsov, “Algoritm upravleniya mnogofunktsional'nym protezom ruki,” Sistemi obrobki informatsii, 2014, Vol.6(122), pp. 167-172. (in Russian)
Saeed V. Vaseghi, “Advanced digital signal processing and noise reduction,” John Wiley & Sons Ltd, Second Edition, 2000, 473 p.
Typ zawartości: Conference Abstract
Występuje w kolekcjach:Наукові публікації працівників кафедри біотехнічних систем



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