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From Biological to Numerical Experiments in Systemic Neuroscience: A Simulation Platform Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface

Authors : E. Hortal, D. Planelles, E. Iáñez, A. Costa, A. Úbeda, J. M. Azorín

Published in: Advances in Neurotechnology, Electronics and Informatics

Publisher: Springer International Publishing

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Abstract

In this paper, an experiment designed to detect the will to perform several steps forward (as gait initiation) before it occurs using the electroencephalographic (EEG) signals collected from the scalp is presented. In order to detect this movement intention, the Event-Related Desynchronization phenomenon is detected using a SVM-based classifier. The preliminary results from seven users have been presented. In this work, the results obtained in a previous paper are enhance obtaining similar true positive rates (around 66 % in average) but reducing the false positive rates (with an average around 20 %). In the future, this improved Brain-Computer Interface will be used as part of the control system of an exoskeleton attached to the lower limb of people with incomplete and complete spinal cord injury to initiate their gait cycle.

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previous chapter Comparing Methods for Decoding Movement Trajectory from ECoG in Chronic Stroke Patients
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Metadata
Title
Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface
Authors
E. Hortal
D. Planelles
E. Iáñez
A. Costa
A. Úbeda
J. M. Azorín
Copyright Year
2016
Book
Advances in Neurotechnology, Electronics and Informatics

Print ISBN: 978-3-319-26240-6

Electronic ISBN: 978-3-319-26242-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26242-0_10