Noninvasive brain-computer interfaces based on sensorimotor rhythms

Bin He, Bryan Baxter, Bradley J. Edelman, Christopher C. Cline, Wenjing W. Ye

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to investigate how the brain can use these systems to control external devices. We review the principles and approaches we have taken to develop a sensorimotor rhythm electroencephalography (EEG)-based brain-computer interface (BCI). The methods include developing BCI systems incorporating the control of physical devices to increase user engagement, improving BCI systems by inversely mapping scalp-recorded EEG signals to the cortical source domain, integrating BCI with noninvasive neuromodulation strategies to improve learning, and incorporating mind-body awareness training to enhance BCI learning and performance. The challenges and merits of these strategies are discussed, together with recent findings. Our work indicates that the sensorimotor-rhythm-based noninvasive BCI has the potential to provide communication and control capabilities as an alternative to physiological motor pathways.

Original languageEnglish (US)
Pages (from-to)907-925
Number of pages19
JournalProceedings of the IEEE
Volume103
Issue number6
DOIs
StatePublished - Jun 1 2015

Keywords

  • Brain-computer interface (BCI)
  • brain-machine interface (BMI)
  • electroencephalography (EEG)
  • motor imagery
  • neural interface
  • sensorimotor rhythm

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