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Signal, Image and Video Processing

, Volume 12, Issue 3, pp 557–564 | Cite as

Modulation of sensorimotor rhythms for brain-computer interface using motor imagery with online feedback

  • Eltaf Abdalsalam
  • Mohd Zuki YusoffEmail author
  • Aamir Malik
  • Nidal S. Kamel
  • Dalia Mahmoud
Original Paper

Abstract

This research studies the impact of the imagination of movements and associated feedbacks on the modulation of sensorimotor electroencephalographic (EEG) rhythms, for the online controls of a brain-computer interface (BCI). Nine subjects with no physical or mental impairments were selected. The number of sessions was five: one calibration and four feedback sessions. A computer screen’s cursor movement was controlled in one dimension using EEG-based four-class BCI involving motor imagery tasks of moving the right hand, the left hand, both hands, or both feet. Our findings reveal that the visual feedback applied during motor imagery movement modulates sensorimotor EEG rhythms clearly in the mu and beta bands. The analyses of event-related desynchronization/synchronization (ERD/ERS) suggest significant differences between brain activities in the calibration and feedback sessions; large ERDs during the online feedback sessions compared to that in the calibration session have been observed. The increasing ERDs in the online feedback session were noticed over the mu1 (8–10 Hz) and upper beta (18–24 Hz) rhythms, resulting in the cursor control success rate at 73.3%.

Keywords

Brain-computer interface (BCI) EEG Sensorimotor rhythm (SMR) Motor imagery Event-related desynchronization/synchronization (ERD/ERS) 

Notes

Acknowledgements

We would like to thank Universiti Teknologi PETRONAS for the Graduate Assistantship Scheme, Centre for Intelligent Signal and Imaging Research (CISIR) for the facilities and equipment provided, and participants for their cooperations in the experiments.

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Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  • Eltaf Abdalsalam
    • 1
  • Mohd Zuki Yusoff
    • 1
    Email author
  • Aamir Malik
    • 1
  • Nidal S. Kamel
    • 1
  • Dalia Mahmoud
    • 2
  1. 1.Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic EngineeringUniversiti Teknologi PETRONAS (UTP)Seri IskandarMalaysia
  2. 2.Al-Neelain University, Department of Electronic EngineeringKhartoumSudan

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