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

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 …

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 developing a movement-related cortical potential (MRCP)-based
brain-machine interface (BMI) is an accurate decoding of the user intention for real-world …

An EEG experimental study evaluating the performance of Texas instruments ADS1299

U Rashid, IK Niazi, N Signal, D Taylor - Sensors, 2018 - mdpi.com
Texas Instruments ADS1299 is an attractive choice for low cost electroencephalography
(EEG) devices owing to its low power consumption and low input referred noise. To date …

Effects of transcutaneous spinal stimulation on spatiotemporal cortical activation patterns: a proof-of-concept EEG study

AG Steele, GA Manson, PJ Horner… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Transcutaneous spinal cord stimulation (TSS) has been shown to be a promising
non-invasive alternative to epidural spinal cord stimulation for improving outcomes of people …

Electroencephalographic recording of the movement-related cortical potential in ecologically valid movements: a scoping review

S Olsen, G Alder, M Williams, S Chambers… - Frontiers in …, 2021 - frontiersin.org
The movement-related cortical potential (MRCP) is a brain signal that can be recorded using
surface electroencephalography (EEG) and represents the cortical processes involved in …

Ensemble learning method based on temporal, spatial features with multi-scale filter banks for motor imagery EEG classification

L Zheng, W Feng, Y Ma, P Lian, Y Xiao, Z Yi… - … Signal Processing and …, 2022 - Elsevier
Decoding motion intention from electroencephalogram (EEG) is a key part of the motor
imagery-based brain-computer interface (MI-BCI). To help the disabled with neuromuscular …

Electroencephalography correlates of transcranial direct-current stimulation enhanced surgical skill learning: a replication and extension study

P Ciechanski, A Kirton, B Wilson, CC Williams… - Brain Research, 2019 - Elsevier
Transcranial direct-current stimulation (tDCS), an increasingly applied form of non-invasive
brain stimulation, can augment the acquisition of motor skills. Motor learning investigations …

Decoding hand movement types and kinematic information from electroencephalogram

B Xu, Y Wang, L Deng, C Wu, W Zhang… - … on Neural Systems …, 2021 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) have achieved successful control of assistive devices, eg
neuroprosthesis or robotic arm. Previous research based on hand movements …

A multimodal approach integrating cognitive and motor demands into physical activity for optimal mental health: Methodological issues and future directions

SC Kao, CJ Brush, CH Wang - Progress in Brain Research, 2024 - Elsevier
Physical activity is known for its positive effects on cognition and affect, with existing
literature suggesting that these mental health benefits may be optimally experienced by …