EEG-based neural decoding of gait in developing children

Trieu Phat Luu; David Eguren; Manuel Cestari; Jose L. Contreras Vidal

doi:10.1109/SMC.2019.8914380

EEG-based neural decoding of gait in developing children

Trieu Phat Luu, David Eguren, Manuel Cestari, Jose L. Contreras Vidal

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

Abstract

Neural decoding of human locomotion, including automated gait intention detection and continuous decoding of lower limb joint angles, has been of great interest in the field of Brain Machine Interface (BMI). However, neural decoding of gait in developing children has yet to be demonstrated. In this study, we collected physiological data (electroencephalography (EEG), electromyography (EMG)), and kinematic data from children performing different locomotion tasks. We also developed a state space estimation model to decode lower limb joint angles from scalp EEG. Fluctuations in the amplitude of slow cortical potentials of EEG in the delta band (0.1-3 Hz) were used for prediction. The decoding accuracies (Pearson's r values) were promising (Hip: 0.71; Knee: 0.59; Ankle: 0.51). Our results demonstrate the feasibility of neural decoding of children walking and have implications for the development of a real-time closed-loop BMI system for the control of a pediatric exoskeleton.

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	3608-3612
Number of pages	5
Volume	2019-October
ISBN (Electronic)	9781728145693
DOIs	https://doi.org/10.1109/SMC.2019.8914380
State	Published - Oct 1 2019
Event	2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy Duration: Oct 6 2019 → Oct 9 2019

Other

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

Keywords

Brain-computer interface
Children walking
EEG
EMG
Gait
Neural decoding

ASJC Scopus subject areas

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

Access to Document

10.1109/SMC.2019.8914380

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Luu, T. P., Eguren, D., Cestari, M., & Contreras Vidal, J. L. (2019). EEG-based neural decoding of gait in developing children. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (Vol. 2019-October, pp. 3608-3612). [8914380] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2019.8914380

EEG-based neural decoding of gait in developing children. / Luu, Trieu Phat; Eguren, David; Cestari, Manuel; Contreras Vidal, Jose L.

2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Vol. 2019-October Institute of Electrical and Electronics Engineers Inc., 2019. p. 3608-3612 8914380.

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

Luu, TP, Eguren, D, Cestari, M & Contreras Vidal, JL 2019, EEG-based neural decoding of gait in developing children. in 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. vol. 2019-October, 8914380, Institute of Electrical and Electronics Engineers Inc., pp. 3608-3612, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019, Bari, Italy, 10/6/19. https://doi.org/10.1109/SMC.2019.8914380

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