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Control de un exoesqueleto mediante señales EMG (electromiográficas)

Authors: Suberviola Zuñiga, Aaron;

Control de un exoesqueleto mediante señales EMG (electromiográficas)

Abstract

Las señales electromiográficas son las señales eléctricas que los músculos del cuerpo humano generancuando realizan algún movimiento. Estas señales pueden ser capturadas mediante unos sensores, para suposterior tratamiento, interpretación y utilización. En este proyecto se van a utilizar las señales EMGgeneradas por ciertos músculos para implementar el control de un exoesqueleto que apoya al movimientodel brazo humano. Para ello se toman las señales del bíceps y del tríceps, además del braquiorradial, y apartir de ellas se calculan las consignas de movimiento a enviar al exoesqueleto. Además de dichasseñales, también se han empleado un goniómetro que permita conocer el ángulo del brazo en todomomento, sensores táctiles de presión para conocer la fuerza realizada por el usuario, y se ha valorado laopción de utilizar actuadores con memoria de forma.El objetivo principal es el de conseguir recrear el movimiento de un brazo humano de la manera más realy natural posible, utilizando para ello señales EMG y otras entradas que se consideren de interés. Paraello se van a emplear técnicas avanzadas de control que permitan un procesamiento rápido de todas lasentradas del sistema y una adaptabilidad a variaciones en las entradas.

134 p.

Country
Spain
Keywords

medical instruments, tecnología de la automatización, ingeniería de control, control engineering, automation technology, instrumentos médicos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green