EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century

Frontiers in Human Neuroscience
Ioulietta LazarouMagda Tsolaki

Abstract

People with severe neurological impairments face many challenges in sensorimotor functions and communication with the environment; therefore they have increased demand for advanced, adaptive and personalized rehabilitation. During the last several decades, numerous studies have developed brain-computer interfaces (BCIs) with the goals ranging from providing means of communication to functional rehabilitation. Here we review the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation. We focus on the approaches intended to help severely paralyzed and locked-in patients regain communication using three different BCI modalities: slow cortical potentials, sensorimotor rhythms and P300 potentials, as operational mechanisms. We also review BCI systems for restoration of motor function in patients with spinal cord injury and chronic stroke. We discuss the advantages and limitations of these approaches and the challenges that need to be addressed in the future.

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Citations

Oct 16, 2019·Journal of Neural Engineering·Yufeng KeDong Ming
Feb 13, 2020·Sensors·Malik M Naeem MannanMyung Yung Jeong
Aug 22, 2018·Frontiers in Human Neuroscience·Madiha TariqMilan Simic
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Oct 17, 2018·Frontiers in Neuroscience·Yaqi ChuYiwen Zhao
Oct 2, 2020·Journal of Neural Engineering·Guang-Li LiHong-Guang Jin
Oct 11, 2020·Medical Hypotheses·Abdorreza Naser Moghadasi
Feb 12, 2021·Frontiers in Human Neuroscience·Haroon KhanPeyman Mirtaheri
Dec 9, 2020·Journal of Neural Engineering·Shintaro NakataniKunihiko Mabuchi
Mar 13, 2021·Journal of Neural Engineering·Bilal AlchalabiDavid R Labbé
Jul 10, 2021·BioMed Research International·Siyu YangXiaowei Sun
Jul 31, 2021·APL Bioengineering·Roberto Portillo-LaraRylie A Green
Aug 12, 2021·BMC Biology·Benjamin WittevrongelMatthew J Brookes
Oct 1, 2021·International Journal of Neural Systems·Ujwal ChaudharyNiels Birbaumer

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Software Mentioned

Dragon Dictate
KINECT
P300
Eye
Connect
Go
QW
Graz
QualiWORLD
P300BCI

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