Electroencephalography

GR Müller-Putz - Handbook of clinical neurology, 2020 - Elsevier
The electroencephalogram (EEG) was invented almost 100 years ago and is still a method
of choice for many research questions, even applications—from functional brain imaging in …

EEG-based brain-computer interfaces: a thorough literature survey

HJ Hwang, S Kim, S Choi, CH Im - International Journal of Human …, 2013 - Taylor & Francis
Brain–computer interface (BCI) technology has been studied with the fundamental goal of
hel** disabled people communicate with the outside world using brain signals. In …

Upper limb movements can be decoded from the time-domain of low-frequency EEG

P Ofner, A Schwarz, J Pereira, GR Müller-Putz - PloS one, 2017 - journals.plos.org
How neural correlates of movements are represented in the human brain is of ongoing
interest and has been researched with invasive and non-invasive methods. In this study, we …

Epileptic seizures prediction using machine learning methods

SM Usman, M Usman, S Fong - … and mathematical methods in …, 2017 - Wiley Online Library
Epileptic seizures occur due to disorder in brain functionality which can affect patient's
health. Prediction of epileptic seizures before the beginning of the onset is quite useful for …

Enhance decoding of pre-movement EEG patterns for brain–computer interfaces

K Wang, M Xu, Y Wang, S Zhang… - Journal of neural …, 2020 - iopscience.iop.org
Objective. In recent years, brain–computer interface (BCI) systems based on
electroencephalography (EEG) have developed rapidly. However, the decoding of 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 …

Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface

N Mrachacz-Kersting, N Jiang… - Journal of …, 2016 - journals.physiology.org
Brain-computer interfaces (BCIs) have the potential to improve functionality in chronic stoke
patients when applied over a large number of sessions. Here we evaluated the effect and …

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 …

Brain-computer interface in stroke rehabilitation

KK Ang, C Guan - Journal of Computing Science and Engineering, 2013 - koreascience.kr
Recent advances in computer science enabled people with severe motor disabilities to use
brain-computer interfaces (BCI) for communication, control, and even to restore their motor …