EEG-based brain-computer interfaces: a thorough literature survey
Brain–computer interface (BCI) technology has been studied with the fundamental goal of
helping disabled people communicate with the outside world using brain signals. In …
helping disabled people communicate with the outside world using brain signals. In …
Brain-computer interface in stroke rehabilitation
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 …
brain-computer interfaces (BCI) for communication, control, and even to restore their motor …
Upper limb movements can be decoded from the time-domain of low-frequency EEG
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 …
interest and has been researched with invasive and non-invasive methods. In this study, we …
Epileptic seizures prediction using machine learning methods
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 …
health. Prediction of epileptic seizures before the beginning of the onset is quite useful for …
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 …
patients when applied over a large number of sessions. Here we evaluated the effect and …
Enhance decoding of pre-movement EEG patterns for brain–computer interfaces
Objective. In recent years, brain–computer interface (BCI) systems based on
electroencephalography (EEG) have developed rapidly. However, the decoding of voluntary …
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
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 …
attempted arm and hand movements. We investigated hand open, palmar grasp, lateral …
Decoding movement-related cortical potentials based on subject-dependent and section-wise spectral filtering
An important challenge in developing a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …
Enhanced low-latency detection of motor intention from EEG for closed-loop brain-computer interface applications
In recent years, the detection of voluntary motor intentions from electroencephalogram
(EEG) has been used for triggering external devices in closed-loop brain–computer interface …
(EEG) has been used for triggering external devices in closed-loop brain–computer interface …
Brain-machine interfaces for rehabilitation in stroke: a review
E López-Larraz, A Sarasola-Sanz… - …, 2018 - content.iospress.com
BACKGROUND: Motor paralysis after stroke has devastating consequences for the patients,
families and caregivers. Although therapies have improved in the recent years, traditional …
families and caregivers. Although therapies have improved in the recent years, traditional …