Arm Orthosis/Prosthesis Control Based on Surface EMG Signal Extraction

The goal of this paper is to show EMG based system control applied to motorized orthoses. Through two biometrical sensors it captures biceps and triceps EMG signals, which are then filtered and processed by an acquisition system. Finally an output/control signal is produced and sent to the actuators...

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Bibliographic Details
Published inHybrid Artificial Intelligent Systems pp. 510 - 519
Main Authors Suberbiola, Aaron, Zulueta, Ekaitz, Lopez-Guede, Jose Manuel, Etxeberria-Agiriano, Ismael, Van Caesbroeck, Bren
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Control
EMG
Orthosis
Power assistance
Prosthesis
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Summary:The goal of this paper is to show EMG based system control applied to motorized orthoses. Through two biometrical sensors it captures biceps and triceps EMG signals, which are then filtered and processed by an acquisition system. Finally an output/control signal is produced and sent to the actuators, which will then perform the proper movement. The research goal is to predict the movement of the lower arm through the analysis of EMG signals, so that the movement can be reproduced by an arm orthosis, powered by two linear actuators.
ISBN:9783642408458
3642408451
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-40846-5_51