A review of critical challenges in MI-BCI: From conventional to deep learning methods

Z Khademi, F Ebrahimi, HM Kordy - Journal of Neuroscience Methods, 2023 - Elsevier
Brain-computer interfaces (BCIs) have achieved significant success in controlling external
devices through the Electroencephalogram (EEG) signal processing. BCI-based Motor …

[HTML][HTML] 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 …

Brain–computer interfaces for communication and rehabilitation

U Chaudhary, N Birbaumer… - Nature Reviews …, 2016 - nature.com
Brain–computer interfaces (BCIs) use brain activity to control external devices, thereby
enabling severely disabled patients to interact with the environment. A variety of invasive …

[HTML][HTML] Signal processing techniques for motor imagery brain computer interface: A review

S Aggarwal, N Chugh - Array, 2019 - Elsevier
Abstract Motor Imagery Brain Computer Interface (MI-BCI) provides a non-muscular channel
for communication to those who are suffering from neuronal disorders. The designing of an …

Brain-computer interfaces in medicine

JJ Shih, DJ Krusienski, JR Wolpaw - Mayo clinic proceedings, 2012 - Elsevier
Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them
into commands that are relayed to output devices that carry out desired actions. BCIs do not …

Performance variation in motor imagery brain–computer interface: a brief review

M Ahn, SC Jun - Journal of neuroscience methods, 2015 - Elsevier
Brain–computer interface (BCI) technology has attracted significant attention over recent
decades, and has made remarkable progress. However, BCI still faces a critical hurdle, in …

Active tactile exploration using a brain–machine–brain interface

JE O'Doherty, MA Lebedev, PJ Ifft, KZ Zhuang… - Nature, 2011 - nature.com
Brain–machine interfaces, use neuronal activity recorded from the brain to establish direct
communication with external actuators, such as prosthetic arms. It is hoped that brain …

[HTML][HTML] Restoring the sense of touch using a sensorimotor demultiplexing neural interface

PD Ganzer, SC Colachis, MA Schwemmer… - Cell, 2020 - cell.com
Paralyzed muscles can be reanimated following spinal cord injury (SCI) using a brain-
computer interface (BCI) to enhance motor function alone. Importantly, the sense of touch is …

Control of hand prostheses using peripheral information

S Micera, J Carpaneto… - IEEE reviews in …, 2010 - ieeexplore.ieee.org
Several efforts have been carried out to enhance dexterous hand prosthesis control by
impaired individuals. Choosing which voluntary signal to use for control purposes is a critical …

The brain–computer interface cycle

M Van Gerven, J Farquhar, R Schaefer… - Journal of neural …, 2009 - iopscience.iop.org
Brain–computer interfaces (BCIs) have attracted much attention recently, triggered by new
scientific progress in understanding brain function and by impressive applications. The aim …