MEANS AND METHODS OF THE UPPER LIMBS PROSTHESES CONTROL
Main Article Content
Abstract
In this article means and methods of upper limb prostheses control are described. The analysis of merits and demerits of the invasive systems of registration of signals that control artificial limbs is carried out. The new technology of high-resolution electromyography (EMG HR) is described. The complexity of obtaining a signal without movement artifacts is considered as the main problem of non-invasive EMG HR. The possible ways of applying the EMG HR systems for rehabilitation, optimization of electrodes placement and reducing their quantity during the fitting process of upper limb prosthesis are proposed. The possibility of using dynamic forecasting of prosthesis movements in real time in EMG HR systems and improvement of intuitive control of the upper limb prostheses is highlighted.
Ref. 23, fig. 8.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
M. Khokhol і O. Mikhnevych, «Systema reabilitatsiyi invalidiv z amputatsiynymy defektamy nyzhnikh kintsivok», Kyiv, p 25, 1995.
C. Uhde і N. Berberich, «Artificial / Prosthetic Limbs», Technical University of Munich, 2015.
I. Desarrollo, U. Norte, E. Nathalia, G. Melo, O. Fernando, і A. Sánchez, «Anthropomorphic robotic hands : a review Manos robóticas antropomórficas : una revisión Darío Amaya Hurtado», vol 32, pp 279–313, 2014.
Ortoteh-Service, «Apper limb prostheses», 2016. [online]. URL: http://orthotech.kiev.ua/kontakt/protezyi-verhnyh-konechnostej. Title from the screen.
D. Knudson, Fundamentals of Biomechanic, Second Edi. Chico, CA: Springer Science+Business Media, LLC, 2007, ISBN 978-0-387-49311-4. ISBN 978-0-387-49312-1 (e-book).
D. Murphy, Fundamentals of Amputation Care and Prosthetics. New York, NY: Demos Medical Publishing, LLC, 2014, ISBN 978-1-936287-70-3. ISBN 978-1-61705-119-7 (e-book).
L. Pan, D. Zhang, N. Jiang, X. Sheng, і X. Zhu, «Improving robustness against electrode shift of high density EMG for myoelectric control through common spatial patterns», J. Neuroeng. Rehabil., vol 12, no 1, p 110, 2015, DOI: 10.1186/s12984-015-0102-9.
S. Sudarsan і E. C. Sekaran, «Design and Development of EMG Controlled Prosthetics Limb», Procedia Eng., vol 38, pp 3547–3551, 2012, DOI: 10.1016/j.proeng.2012.06.409.
J. S. Lee, J. Heo, W. K. Lee, Y. G. Lim, Y. H. Kim, і K. S. Park, «Flexible capacitive electrodes for minimizing motion artifacts in ambulatory electrocardiograms», Sensors (Switzerland), vol 14, no 8, pp 14732–14743, 2014, DOI: 10.3390/s140814732.
H. Fuketa, K. Yoshioka, Y. Shinozuka, і K. Ishida, «Measurement Sheet With 2 V Organic Transistors for Prosthetic Hand Control», IEEE Trans. Biomed. Eng., vol 8, no 6, pp 824–833, 2014, DOI: 10.1109/TBCAS.2014.2314135.
N. S. Dias, A. F. Silva, P. M. Mendes, і J. H. Correia, «Non-invasive iridium oxide biopotential electrodes», IECON Proc. (Industrial Electron. Conf., pp 1899–1904, 2009,
DOI: 10.1109/IECON.2009.5414851.
E. Kuronen, «Epic Sensors in Electrocardiogram Measurement», Oulu University of Applied Sciences, 2012.
Y. M. Chi, «Non-contact biopotential sensing», US San Diego, 2011.
S. Casaccia, L. Scalise, L. Casacanditella, E. P. Tomasini, і J. W. Rohrbaugh, «Non-contact assessment of muscle contraction: Laser Doppler Myography», 2015 IEEE Int. Symp. Med. Meas. Appl. MeMeA 2015 - Proc., pp 610–615, 2015, DOI: 10.1109/MeMeA.2015.7145276.
L. R. Hochberg et al., «Reach and grasp by people with tetraplegia using a neurally controlled robotic arm», Nature, vol 485, no 7398, pp 372–375, Трав 2012, DOI: 10.1038/nature11076.
T. A. Kuiken et al., «Targeted Muscle Reinnervation for Real-Time Myoelectric Control of Multifunction Artificial Arms», Jama, vol 301, no 6, pp 619–628, 2011 DOI: 10.1001/jama.2009.116.
M. Ison, I. Vujaklija, B. Whitsell, D. Farina, і P. Artemiadis, «High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm», IEEE Trans. Neural Syst. Rehabil. Eng., vol 24, no 4, pp 424–433, 2016, DOI: 10.1109/TNSRE.2015.2417775.
E. Akdogan і Z. Shishman, «A muscular activation controlled rehabilitation robot system», Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol 6881 LNAI, no PART 1, pp 271–279, 2011 DOI: 10.1007/978-3-642-23851-2_28.
M. Novak, «Design of an Arm Exoskeleton Controlled by the EMG Signal», no December, 2011.
P. K. Artemiadis, «EMG-Based Control of a Robot Arm Using Low- Dimensional Embeddings», Robot. IEEE Trans., pp 393–398, 2010, DOI: 10.1109/TRO.2009.2039378.
Z. O. Khokhar, Z. G. Xiao, і C. Menon, «Surface EMG pattern recognition for real-time control of a wrist exoskeleton», Biomed. Eng. Online, vol 9, no 1, p 41, 2010, DOI: 10.1186/1475-925X-9-41.
P. Shenoy, K. J. Miller, B. Crawford, і R. P. N. Rao, «Online electromyographic control of a robotic prosthesis», IEEE Trans. Biomed. Eng., vol 55, no 3, pp 1128–1135, 2008, DOI: 10.1109/TBME.2007.909536.
Y.-H. Liu, H.-P. Huang, і C.-H. Weng, «Recognition of Electromyographic Signals Using Cascaded Kernel Learning Machine», IEEE/ASME Trans. Mechatronics, vol 12, no 3, pp 253–264, 2007, DOI: 10.1109/TMECH.2007.897253.