Cited by 233EEG and Brain-Computer InterfacesGaze Tracking and Assistive TechnologyMuscle activation and electromyography studies

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Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms

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He, Bin, Baxter, Bryan, Edelman, Bradley J., Cline, Christopher C., Ye, Wenjing W.·2015·Proceedings of the IEEE

DOI 10.1109/jproc.2015.2407272PMC PMC8323842

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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 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.

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Authors: He, B., Baxter, B., Edelman, B. J., Cline, C. C., & Ye, W. W.
Affiliations: University of Minnesota (US)
Corresponding author: He, Bin
ORCID: He, Bin
Baxter, Bryan
Edelman, Bradley J.
Cline, Christopher C.
Venue: Proceedings of the IEEE
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2015-06
Volume: 103
Issue: 6
Pages: 907-925
ISSN: 0018-9219 (ISSN-L)
1558-2256
DOI: 10.1109/jproc.2015.2407272
PMC: PMC8323842
OpenAlex: W2147854680
Cited by: 233
References: 177
Citations by year: 2026: 12 · 2025: 18 · 2024: 28 · 2023: 24 · 2022: 15 · 2021: 21 · 2020: 17 · 2019: 20 · 2018: 33 · 2017: 27 · 2016: 14 · 2015: 4
FWCI: 15.63
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html (vor)
Locations: Proceedings of the IEEE (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Science Foundation (CBET-1264782, DGE-1069104)
National Institute of Health (EB006433, EY023101)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Keywords: non-invasive brain-computer interface, sensorimotor rhythm, EEG, cortical source localization, non-invasive neuromodulation, motor control, communication aids

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Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms

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