Intra-and inter-subject variability in EEG-based sensorimotor brain computer interface: a review

S Saha, M Baumert - Frontiers in computational neuroscience, 2020 - frontiersin.org
Brain computer interfaces (BCI) for the rehabilitation of motor impairments exploit
sensorimotor rhythms (SMR) in the electroencephalogram (EEG). However, the …

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 …

Enhanced low-latency detection of motor intention from EEG for closed-loop brain-computer interface applications

R Xu, N Jiang, C Lin… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
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 …

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 …

A shallow mirror transformer for subject-independent motor imagery BCI

J Luo, Y Wang, S Xia, N Lu, X Ren, Z Shi… - Computers in Biology and …, 2023 - Elsevier
Objective: Motor imagery BCI plays an increasingly important role in motor disorders
rehabilitation. However, the position and duration of the discriminative segment in an EEG …

A brain–computer interface for single-trial detection of gait initiation from movement related cortical potentials

N Jiang, L Gizzi, N Mrachacz-Kersting… - Clinical …, 2015 - Elsevier
Objective Applications of brain–computer interfacing (BCI) in neurorehabilitation have
received increasing attention. The intention to perform a motor task can be detected from …

Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution

TC Bulea, S Prasad, A Kilicarslan… - Frontiers in …, 2014 - frontiersin.org
Low frequency signals recorded from non-invasive electroencephalography (EEG), in
particular movement-related cortical potentials (MRPs), are associated with preparation and …

[HTML][HTML] Breathing is coupled with voluntary initiation of mental imagery

HD Park, T Piton, OA Kannape, NW Duncan, KY Lee… - NeuroImage, 2022 - Elsevier
Previous research has suggested that bodily signals from internal organs are associated
with diverse cortical and subcortical processes involved in sensory-motor functions, beyond …

Automatically identified EEG signals of movement intention based on CNN network (End-To-End)

N Shahini, Z Bahrami, S Sheykhivand, S Marandi… - Electronics, 2022 - mdpi.com
Movement-based brain–computer Interfaces (BCI) rely significantly on the automatic
identification of movement intent. They also allow patients with motor disorders to …