Control system of a lower-extremity exoskeleton based on the artificial neural network

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21730/20:00357181

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Control system of a lower-extremity exoskeleton based on the artificial neural network

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Control system of a lower-extremity exoskeleton based on the artificial neural network

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

6

Strana od-do

91-96

Název nakladatele

IOS Press

Místo vydání

Amsterdam

Místo konání akce

Prague

Datum konání akce

14. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000648601600008