Control system of a lower-extremity exoskeleton based on the artificial neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F20%3A00357181" target="_blank" >RIV/68407700:21460/20:00357181 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/20:00357181
Result on the web
<a href="http://dx.doi.org/10.3233/SHTI200620" target="_blank" >http://dx.doi.org/10.3233/SHTI200620</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/SHTI200620" target="_blank" >10.3233/SHTI200620</a>
Alternative languages
Result language
angličtina
Original language name
Control system of a lower-extremity exoskeleton based on the artificial neural network
Original language description
A lower-extremity exoskeleton can facilitate the lower limbs' rehabilitation by providing additional structural support and strength. This article discusses the design and implementation of a functional prototype of lower extremity brace actuation and its wireless communication control system. The design provides supportive torque and increases the range of motion after complications reducing muscular strength. The control system prototype facilitates elevating a leg, gradually followed by standing and slow walking. The main control modalities are based on an Artificial Neural Network (ANN). The prototype's functionality was tested by time-angle graphs. The final prototype demonstrates the potential application of the ANN in the control system of exoskeletons for joint impairment therapy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20601 - Medical engineering
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
pHealth 2020 Proceedings of the 17th International Conference on Wearable Micro and Nano Technologies for Personalized Health
ISBN
978-1-64368-113-9
ISSN
0926-9630
e-ISSN
1879-8365
Number of pages
6
Pages from-to
91-96
Publisher name
IOS Press
Place of publication
Amsterdam
Event location
Prague
Event date
Sep 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000648601600008