EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.
Ioulietta Lazarou,Spiros Nikolopoulos,Panagiotis C. Petrantonakis,Ioannis Kompatsiaris,Magda Tsolaki +4 more
TLDR
This work reviews the research on non-invasive, electroencephalography (EEG)-based BCI systems for communication and rehabilitation and focuses 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.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.read more
Citations
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Journal ArticleDOI
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
Mamunur Rashid,Norizam Sulaiman,Anwar P. P. Abdul Majeed,Rabiu Muazu Musa,Ahmad Fakhri Ab. Nasir,Bifta Sama Bari,Sabira Khatun +6 more
TL;DR: This article provides a comprehensive review of the state-of-the-art of a complete BCI system and a considerable number of popular BCI applications are reviewed in terms of electrophysiological control signals, feature extraction, classification algorithms, and performance evaluation metrics.
Journal ArticleDOI
EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots.
TL;DR: The review identifies the potentials of electroencephalography (EEG) based BCI applications for locomotion and mobility rehabilitation and suggests to structure EEG-BCI controlled LL assistive devices within the presented framework, for future generation of intent-based multifunctional controllers.
Book
Cognitive Science: An Introduction to the Science of the Mind
TL;DR: The Third Edition of Cognitive Science as mentioned in this paper consolidates the interdisciplinary streams of cognitive science to present a unified narrative of Cognitive science as a discipline in its own right, and teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind.
Journal ArticleDOI
Review of semi-dry electrodes for EEG recording
TL;DR: This review provides valuable technical support for the development of semi-dry electrodes toward emerging practical applications and combines the advantages of both wet and dry electrodes while addressing their respective drawbacks.
Journal ArticleDOI
An online SSVEP-BCI system in an optical see-through augmented reality environment.
TL;DR: The results showed potentials of providing a high-performance brain-control interaction method by combining AR and BCI, and could provide methodological guidelines for developing more wearable BCIs in OST-AR environments and will also encourage more interesting applications involving BCIs and AR techniques.
References
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