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Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms.

Bin He1,2, Bryan Baxter1, Bradley J Edelman1

  • 1Department of Biomedical Engineering, University of Minnesota.

Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|August 2, 2021
PubMed
Summary
This summary is machine-generated.

This study reviews sensorimotor rhythm electroencephalography (EEG) based brain-computer interfaces (BCIs). These noninvasive BCIs show potential for communication and control, offering an alternative to natural motor pathways.

Keywords:
BCIBMIBrain-computer interfaceEEGbrain-machine interfacemotor imageryneural interfacesensorimotor rhythm

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Area of Science:

  • Neuroengineering
  • Biomedical Engineering
  • Neuroscience

Background:

  • Brain-computer interfaces (BCIs) are explored in neuroengineering for controlling external devices.
  • Sensorimotor rhythm electroencephalography (EEG) is a key modality for noninvasive BCIs.

Purpose of the Study:

  • To review principles and approaches for developing sensorimotor rhythm EEG-based BCIs.
  • To explore strategies for enhancing BCI user engagement, performance, and learning.

Main Methods:

  • Developing BCI systems for controlling physical devices.
  • Inversely mapping scalp EEG signals to the cortical source domain.
  • Integrating BCIs with noninvasive neuromodulation and mind-body awareness training.

Main Results:

  • Incorporating physical device control increases user engagement.
  • Cortical source domain mapping improves BCI signal processing.
  • Neuromodulation and mind-body training enhance BCI learning and performance.

Conclusions:

  • Sensorimotor rhythm-based noninvasive BCIs offer promising communication and control capabilities.
  • These BCIs can serve as an alternative to physiological motor pathways.
  • Further research is needed to address challenges and fully realize BCI potential.