EEG-based brain–computer interfaces

DJ McFarland, JR Wolpaw - current opinion in Biomedical Engineering, 2017 - Elsevier
Abstract Brain–Computer Interfaces (BCIs) are real-time computer-based systems that
translate brain signals into useful commands. To date most applications have been …

Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability

RM Maura, S Rueda Parra, RE Stevens… - Journal of …, 2023 - Springer
Background Significant clinician training is required to mitigate the subjective nature and
achieve useful reliability between measurement occasions and therapists. Previous …

Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

M Congedo, A Barachant, R Bhatia - Brain-Computer Interfaces, 2017 - Taylor & Francis
Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …

Brain–computer interface training based on brain activity can induce motor recovery in patients with stroke: A meta-analysis

I Nojima, H Sugata, H Takeuchi… - … and neural repair, 2022 - journals.sagepub.com
Background Brain–computer interface (BCI) is a procedure involving brain activity in which
neural status is provided to the participants for self-regulation. The current review aims to …

Brain‐machine interface of upper limb recovery in stroke patients rehabilitation: a systematic review

R Carvalho, N Dias, JJ Cerqueira - Physiotherapy Research …, 2019 - Wiley Online Library
Background Technologies such as brain‐computer interfaces are able to guide mental
practice, in particular motor imagery performance, to promote recovery in stroke patients, as …

Effect of brain-computer interface training based on non-invasive electroencephalography using motor imagery on functional recovery after stroke-a systematic review …

A Kruse, Z Suica, J Taeymans, C Schuster-Amft - BMC neurology, 2020 - Springer
Background Training with brain-computer interface (BCI) technology in the rehabilitation of
patients after a stroke is rapidly developing. Numerous RCT investigated the effects of BCI …

Therapeutic applications of BCI technologies

DJ McFarland, J Daly, C Boulay… - Brain-Computer …, 2017 - Taylor & Francis
Brain-computer interface (BCI) technology can restore communication and control to people
who are severely paralyzed. There has been speculation that this technology might also be …

Functional synergy recruitment index as a reliable biomarker of motor function and recovery in chronic stroke patients

N Irastorza-Landa, E García-Cossio… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Stroke affects the expression of muscle synergies underlying motor control, most
notably in patients with poorer motor function. The majority of studies on muscle synergies …

Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke

SL Norman, DJ McFarland, A Miner… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Brain–computer interface (BCI) technology is attracting increasing interest as a
tool for enhancing recovery of motor function after stroke, yet the optimal way to apply this …

Brain-computer interface combined with mental practice and occupational therapy enhances upper limb motor recovery, activities of daily living, and participation in …

AF Zanona, D Piscitelli, VM Seixas… - Frontiers in …, 2023 - frontiersin.org
Background We investigated the effects of brain-computer interface (BCI) combined with
mental practice (MP) and occupational therapy (OT) on performance in activities of daily …