Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands

The development of robotic hand prosthetic aims to give back people with disabilities, the ability to recover the functionality needed to manipulate the objects of their daily environment. The electrical signals sent by the brain through the nervous system are associated with the type of movement th...

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Detalles Bibliográficos
Autores principales: Russo, Rodrigo E., Fernández, Juana, Rivera, Raúl, Kuzman, Melisa G., López, Juan, Gemin, Walter, Revuelta, Miguel Ángel
Formato: Articulo
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
Robotics
EMG
prosthesis
Arduino
hand
bionic
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/66737
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-66737
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Robotics
EMG
prosthesis
Arduino
hand
bionic
spellingShingle Ciencias Informáticas
Robotics
EMG
prosthesis
Arduino
hand
bionic
Russo, Rodrigo E.
Fernández, Juana
Rivera, Raúl
Kuzman, Melisa G.
López, Juan
Gemin, Walter
Revuelta, Miguel Ángel
Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands
topic_facet Ciencias Informáticas
Robotics
EMG
prosthesis
Arduino
hand
bionic
description The development of robotic hand prosthetic aims to give back people with disabilities, the ability to recover the functionality needed to manipulate the objects of their daily environment. The electrical signals sent by the brain through the nervous system are associated with the type of movement that the limbs must execute. Myoelectric sensors are non-intrusive devices that allow the capture of electrical signals from the peripheral nervous system. The relationship between the signals originated in the brain tending to generate an action and the myoelectric ones as a result of them, are weakly correlated. For this reason, it is necessary to study their interaction in order to develop the algorithms that allow recognizing orders and transform them into commands that activate the corresponding movements of the prosthesis. The present work shows the development of a prosthesis based on the design of an artificial hand Open Bionics to produce the movements, the MyoWare Muscle sensor for the capture of myoelectric signals (EMG) and the algorithm that allows to identify orders associated with three types of movement. Arduino Nano module performs the acquisition and control processes to meet the size and consumption requirements of this application.
format Articulo
Articulo
author Russo, Rodrigo E.
Fernández, Juana
Rivera, Raúl
Kuzman, Melisa G.
López, Juan
Gemin, Walter
Revuelta, Miguel Ángel
author_facet Russo, Rodrigo E.
Fernández, Juana
Rivera, Raúl
Kuzman, Melisa G.
López, Juan
Gemin, Walter
Revuelta, Miguel Ángel
author_sort Russo, Rodrigo E.
title Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands
title_short Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands
title_full Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands
title_fullStr Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands
title_full_unstemmed Algorithm of Myoelectric Signals Processing for the Control of Prosthetic Robotic Hands
title_sort algorithm of myoelectric signals processing for the control of prosthetic robotic hands
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/66737
work_keys_str_mv AT russorodrigoe algorithmofmyoelectricsignalsprocessingforthecontrolofprostheticrobotichands
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