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 proceedingConference 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 languageEnglish (US)
Title of host publication2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3608-3612
Number of pages5
Volume2019-October
ISBN (Electronic)9781728145693
DOIs
StatePublished - Oct 1 2019
Event2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 - Bari, Italy
Duration: Oct 6 2019Oct 9 2019

Other

Other2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
CountryItaly
CityBari
Period10/6/1910/9/19

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

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  • Cite this

    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