A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions

S Khademi, M Neghabi, M Farahi, M Shirzadi… - … Intelligence-Based Brain …, 2022 - Elsevier
Brain-computer interface (BCI) aims to translate human intention into a control output signal.
In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity …

EEG-based BCI for the linear control of an upper-limb neuroprosthesis

C Vidaurre, C Klauer, T Schauer… - Medical engineering & …, 2016 - Elsevier
Assistive technologies help patients to reacquire interacting capabilities with the
environment and improve their quality of life. In this manuscript we present a feasibility study …

Challenges of neural interfaces for stroke motor rehabilitation

C Vidaurre, N Irastorza-Landa… - Frontiers in Human …, 2023 - frontiersin.org
More than 85% of stroke survivors suffer from different degrees of disability for the rest of
their lives. They will require support that can vary from occasional to full time assistance …

Individually adapted imagery improves brain-computer interface performance in end-users with disability

R Scherer, J Faller, EVC Friedrich, E Opisso, U Costa… - PloS one, 2015 - journals.plos.org
Brain-computer interfaces (BCIs) translate oscillatory electroencephalogram (EEG) patterns
into action. Different mental activities modulate spontaneous EEG rhythms in various ways …

Reducing the calibration time in somatosensory BCI by using tactile ERD

L Yao, N Jiang, N Mrachacz-Kersting… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Objective: We propose a tactile-induced-oscillation approach to reduce the calibration time
in somatosensory brain-computer interfaces (BCI). Methods: Based on the similarity …

Sensorimotor functional connectivity: a neurophysiological factor related to BCI performance

C Vidaurre, S Haufe, T Jorajuría, KR Müller… - Frontiers in …, 2020 - frontiersin.org
Brain-Computer Interfaces (BCIs) are systems that allow users to control devices using brain
activity alone. However, the ability of participants to command BCIs varies from subject to …

Applying combined action observation and motor imagery to enhance classification performance in a brain–computer interface system for stroke patients

N Rungsirisilp, Y Wongsawat - IEEE Access, 2022 - ieeexplore.ieee.org
Motor imagery (MI) and action observation (AO) are mental practices commonly applied in
brain–computer interface (BCI) systems for stroke rehabilitation. However, previous studies …

Enhancing sensorimotor BCI performance with assistive afferent activity: an online evaluation

C Vidaurre, AR Murguialday, S Haufe, M Gómez… - Neuroimage, 2019 - Elsevier
An important goal in Brain-Computer Interfacing (BCI) is to find and enhance procedural
strategies for users for whom BCI control is not sufficiently accurate. To address this …

Improving motor imagery classification during induced motor perturbations

C Vidaurre, T Jorajuría… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Motor imagery is the mental simulation of movements. It is a common paradigm to
design brain-computer interfaces (BCIs) that elicits the modulation of brain oscillatory activity …

Comparing features for classification of MEG responses to motor imagery

HL Halme, L Parkkonen - PloS one, 2016 - journals.plos.org
Background Motor imagery (MI) with real-time neurofeedback could be a viable approach,
eg, in rehabilitation of cerebral stroke. Magnetoencephalography (MEG) noninvasively …