Non-invasive brain-computer interfaces: state of the art and trends

BJ Edelman, S Zhang, G Schalk… - IEEE Reviews in …, 2024 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …

A review of techniques for detection of movement intention using movement‐related cortical potentials

A Shakeel, MS Navid, MN Anwar… - … methods in medicine, 2015 - Wiley Online Library
The movement‐related cortical potential (MRCP) is a low‐frequency negative shift in the
electroencephalography (EEG) recording that takes place about 2 seconds prior to voluntary …

Attempted arm and hand movements can be decoded from low-frequency EEG from persons with spinal cord injury

P Ofner, A Schwarz, J Pereira, D Wyss, R Wildburger… - Scientific reports, 2019 - nature.com
We show that persons with spinal cord injury (SCI) retain decodable neural correlates of
attempted arm and hand movements. We investigated hand open, palmar grasp, lateral …

Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface

MJ Khan, MJ Hong, KS Hong - Frontiers in human neuroscience, 2014 - frontiersin.org
The hybrid brain-computer interface (BCI)'s multimodal technology enables precision brain-
signal classification that can be used in the formulation of control commands. In the present …

Design and optimization of an EEG-based brain machine interface (BMI) to an upper-limb exoskeleton for stroke survivors

NA Bhagat, A Venkatakrishnan, B Abibullaev… - Frontiers in …, 2016 - frontiersin.org
This study demonstrates the feasibility of detecting motor intent from brain activity of chronic
stroke patients using an asynchronous electroencephalography (EEG)-based brain machine …

Voluntary control of wearable robotic exoskeletons by patients with paresis via neuromechanical modeling

G Durandau, D Farina, G Asín-Prieto… - … of neuroengineering and …, 2019 - Springer
Background Research efforts in neurorehabilitation technologies have been directed
towards creating robotic exoskeletons to restore motor function in impaired individuals …

Decoding natural reach-and-grasp actions from human EEG

A Schwarz, P Ofner, J Pereira, AI Sburlea… - Journal of neural …, 2017 - iopscience.iop.org
Objective. Despite the high number of degrees of freedom of the human hand, most actions
of daily life can be executed incorporating only palmar, pincer and lateral grasp. In this study …

[HTML][HTML] A systematic review of virtual reality and robot therapy as recent rehabilitation technologies using EEG-brain–computer interface based on movement-related …

RR Said, MBB Heyat, K Song, C Tian, Z Wu - Biosensors, 2022 - mdpi.com
To enhance the treatment of motor function impairment, patients' brain signals for self-control
as an external tool may be an extraordinarily hopeful option. For the past 10 years …

[HTML][HTML] EEG neural correlates of goal-directed movement intention

J Pereira, P Ofner, A Schwarz, AI Sburlea… - Neuroimage, 2017 - Elsevier
Using low-frequency time-domain electroencephalographic (EEG) signals we show, for the
same type of upper limb movement, that goal-directed movements have different neural …