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Authors: Samuel Bustamante ; Juan C. Yepes ; Vera Z. Pérez and Julio C. Correa

Affiliation: Universidad Pontificia Bolivariana, Colombia

ISBN: 978-989-758-170-0

Keyword(s): Methodology, Neural Interface Systems, Surface Electromyography, Upper Limb Prostheses, Rehabilitation, Signal Processing, Myoelectric Control.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Motion Control ; Real-Time Systems

Abstract: Neural interface systems (NISs) are widely used in rehabilitation and upper limb prosthetics. These systems usually involve robots, such as robotic exoskeletons or electric arms, as terminal devices. We propose a methodology to assess the feasibility of implementing these kind of neural interfaces by means of an online kinematic simulation of the robot. It allows the researcher or developer to make tests and improve the design of the mechatronic devices when they have not been built yet or are not available. Moreover, it may be used in biofeedback applications for rehabilitation. The simulation makes use of the CAD model of the robot, its Denavit–Hartenberg parameters, and biosignals recorded from a human being. The proposed methodology was tested using surface electromyography signals acquired from the upper limb of a 25-year-old healthy male. Both real-time and prerecorded signals were used. The robot simulated was the commercial robotic arm KUKA KR6. The tests proved that the onlin e simulation can be effectively implemented and controlled by means of a biosignal. (More)

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Paper citation in several formats:
Bustamante S., Yepes J., Pérez V. and Correa J. (2016). A Simulation-based Methodology to Test and Assess Designs of Mechatronic Neural Interface Systems.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 78-87. DOI: 10.5220/0005698200780087

@conference{biosignals16,
author={Samuel Bustamante and Juan C. Yepes and Vera Z. Pérez and Julio C. Correa},
title={A Simulation-based Methodology to Test and Assess Designs of Mechatronic Neural Interface Systems},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)},
year={2016},
pages={78-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005698200780087},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2016)
TI - A Simulation-based Methodology to Test and Assess Designs of Mechatronic Neural Interface Systems
SN - 978-989-758-170-0
AU - Bustamante S.
AU - Yepes J.
AU - Pérez V.
AU - Correa J.
PY - 2016
SP - 78
EP - 87
DO - 10.5220/0005698200780087

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