Assessment of motor imagery in gamma band using a lower limb exoskeleton

M. Ortiz; E. Ianez; J. Gaxiola; A. Kilicarslan; J. L. Contreras-Vidal; J. M. Azorin

doi:10.1109/SMC.2019.8914483

Assessment of motor imagery in gamma band using a lower limb exoskeleton

M. Ortiz, E. Ianez, J. Gaxiola, A. Kilicarslan, J. L. Contreras-Vidal, J. M. Azorin

Houston Methodist

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

The use of a brain-machine interface (BMI) in combination with powered exoskeletons can assist patients with lower limb disabilities to walk again. These neurorobotic systems are commonly based on motor imagery, but their performance may suffer from lack of user engagement in the task or from cognitive load due to multi-tasking. The present paper shows a novel algorithm based on the gamma spectral band, using the Stockwell transform and a set of smoothing filters, to assess the quality of and improve the decoding of motor imagery during the use of a BMI-Rex exoskeleton system. The results computed in a pseudo-online scenario reveal a high accuracy with a very low false positive ratio.

Original language	English (US)
Title of host publication	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2773-2778
Number of pages	6
ISBN (Electronic)	9781728145693
DOIs	https://doi.org/10.1109/SMC.2019.8914483
State	Published - Oct 2019
Event	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy Duration: Oct 6 2019 → Oct 9 2019

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2019-October
ISSN (Print)	1062-922X

Other

Other	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Country/Territory	Italy
City	Bari
Period	10/6/19 → 10/9/19

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/SMC.2019.8914483

Cite this

Ortiz, M., Ianez, E., Gaxiola, J., Kilicarslan, A., Contreras-Vidal, J. L., & Azorin, J. M. (2019). Assessment of motor imagery in gamma band using a lower limb exoskeleton. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (pp. 2773-2778). Article 8914483 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2019.8914483

Assessment of motor imagery in gamma band using a lower limb exoskeleton. / Ortiz, M.; Ianez, E.; Gaxiola, J. et al.
2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2773-2778 8914483 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ortiz, M, Ianez, E, Gaxiola, J, Kilicarslan, A, Contreras-Vidal, JL & Azorin, JM 2019, Assessment of motor imagery in gamma band using a lower limb exoskeleton. in 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019., 8914483, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 2773-2778, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, 10/6/19. https://doi.org/10.1109/SMC.2019.8914483

Ortiz M, Ianez E, Gaxiola J, Kilicarslan A, Contreras-Vidal JL, Azorin JM. Assessment of motor imagery in gamma band using a lower limb exoskeleton. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2773-2778. 8914483. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/SMC.2019.8914483

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Assessment of motor imagery in gamma band using a lower limb exoskeleton

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