Past, present, and future of EEG-based BCI applications

K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

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 …

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 movement-related cortical potentials based on subject-dependent and section-wise spectral filtering

JH Jeong, NS Kwak, C Guan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An important challenge in develo** a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …

Systematic review on wearable lower extremity robotic exoskeletons for assisted locomotion

S Qiu, Z Pei, C Wang, Z Tang - Journal of Bionic Engineering, 2023 - Springer
Lower extremity robotic exoskeletons (LEEX) can not only improve the ability of the human
body but also provide healing treatment for people with lower extremity dysfunction. There …

Decoding EEG rhythms during action observation, motor imagery, and execution for standing and sitting

R Chaisaen, P Autthasan, N Mingchinda… - IEEE sensors …, 2020 - ieeexplore.ieee.org
Event-related desynchronization and synchronization (ERD/S) and movement-related
cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower …

Noninvasive brain–machine interfaces for robotic devices

L Tonin, JR Millán - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …

Analysis of human gait using hybrid EEG-fNIRS-based BCI system: a review

H Khan, N Naseer, A Yazidi, PK Eide… - Frontiers in Human …, 2021 - frontiersin.org
Human gait is a complex activity that requires high coordination between the central nervous
system, the limb, and the musculoskeletal system. More research is needed to understand …

Identification of lower-limb motor tasks via brain–computer interfaces: a topical overview

V Asanza, E Peláez, F Loayza, LL Lorente-Leyva… - Sensors, 2022 - mdpi.com
Recent engineering and neuroscience applications have led to the development of brain–
computer interface (BCI) systems that improve the quality of life of people with motor …

Fusion of EEG and EMG signals for classification of unilateral foot movements

N Hooda, R Das, N Kumar - Biomedical Signal Processing and Control, 2020 - Elsevier
Introduction The study of motor cortex represents the presence of functional activity around
mesial surface during all lower limb movements. Due to this, the problem of classification for …