A comprehensive review of EEG-based brain–computer interface paradigms

R Abiri, S Borhani, EW Sellers, Y Jiang… - Journal of neural …, 2019 - iopscience.iop.org
Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Brain-machine interfaces: From basic science to neuroprostheses and neurorehabilitation

MA Lebedev, MAL Nicolelis - Physiological reviews, 2017 - journals.physiology.org
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

[HTML][HTML] Review of the BCI competition IV

M Tangermann, KR Müller, A Aertsen… - Frontiers in …, 2012 - frontiersin.org
The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …

[HTML][HTML] Inter-brain synchronization during social interaction

G Dumas, J Nadel, R Soussignan, J Martinerie… - PloS one, 2010 - journals.plos.org
During social interaction, both participants are continuously active, each modifying their own
actions in response to the continuously changing actions of the partner. This continuous …

[HTML][HTML] Intra-and inter-subject variability in EEG-based sensorimotor brain computer interface: a review

S Saha, M Baumert - Frontiers in computational neuroscience, 2020 - frontiersin.org
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …

Brain–computer interfaces using sensorimotor rhythms: current state and future perspectives

H Yuan, B He - IEEE Transactions on Biomedical Engineering, 2014 - ieeexplore.ieee.org
Many studies over the past two decades have shown that people can use brain signals to
convey their intent to a computer using brain-computer interfaces (BCIs). BCI systems extract …

Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array

JD Simeral, SP Kim, MJ Black… - Journal of neural …, 2011 - iopscience.iop.org
The ongoing pilot clinical trial of the BrainGate neural interface system aims in part to assess
the feasibility of using neural activity obtained from a small-scale, chronically implanted …

EEG source imaging enhances the decoding of complex right-hand motor imagery tasks

BJ Edelman, B Baxter, B He - IEEE Transactions on Biomedical …, 2015 - ieeexplore.ieee.org
Goal: Sensorimotor-based brain-computer interfaces (BCIs) have achieved successful
control of real and virtual devices in up to three dimensions; however, the traditional sensor …

[HTML][HTML] Upper limb movements can be decoded from the time-domain of low-frequency EEG

P Ofner, A Schwarz, J Pereira, GR Müller-Putz - PloS one, 2017 - journals.plos.org
How neural correlates of movements are represented in the human brain is of ongoing
interest and has been researched with invasive and non-invasive methods. In this study, we …

[HTML][HTML] Attempted arm and hand movements can be decoded from low-frequency EEG from persons with spinal cord injury

P Ofner, A Schwarz, J Pereira, D Wyss, R Wildburger… - Scientific reports, 2019 - nature.com
We show that persons with spinal cord injury (SCI) retain decodable neural correlates of
attempted arm and hand movements. We investigated hand open, palmar grasp, lateral …