Brain-computer interface: Advancement and challenges

MF Mridha, SC Das, MM Kabir, AA Lima, MR Islam… - Sensors, 2021 - mdpi.com
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Summary of over fifty years with brain-computer interfaces—a review

A Kawala-Sterniuk, N Browarska, A Al-Bakri, M Pelc… - Brain Sciences, 2021 - mdpi.com
Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

Decoding covert speech from EEG-a comprehensive review

JT Panachakel, AG Ramakrishnan - Frontiers in Neuroscience, 2021 - frontiersin.org
Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

Virtual reality for neurorehabilitation and cognitive enhancement

DD Georgiev, I Georgieva, Z Gong, V Nanjappan… - Brain sciences, 2021 - mdpi.com
Our access to computer-generated worlds changes the way we feel, how we think, and how
we solve problems. In this review, we explore the utility of different types of virtual reality …

A survey of sensor fusion methods in wearable robotics

D Novak, R Riener - Robotics and Autonomous Systems, 2015 - Elsevier
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …

Motor-imagery EEG-based BCIs in wheelchair movement and control: A systematic literature review

A Palumbo, V Gramigna, B Calabrese, N Ielpo - Sensors, 2021 - mdpi.com
The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the
need for innovative aids, devices, and assistive technologies to enable people with severe …

Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm

X Chen, B Zhao, Y Wang, X Gao - Journal of neural engineering, 2019 - iopscience.iop.org
Objective. Recent attempts in developing brain–computer interface (BCI)-controlled robots
have shown the potential of this area in the field of assistive robots. However, implementing …

Towards correlation-based time window selection method for motor imagery BCIs

J Feng, E Yin, J Jin, R Saab, I Daly, X Wang, D Hu… - Neural Networks, 2018 - Elsevier
The start of the cue is often used to initiate the feature window used to control motor imagery
(MI)-based brain-computer interface (BCI) systems. However, the time latency during an MI …

Demonstration of a semi-autonomous hybrid brain–machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb …

DP McMullen, G Hotson, KD Katyal… - … on Neural Systems …, 2013 - ieeexplore.ieee.org
To increase the ability of brain-machine interfaces (BMIs) to control advanced prostheses
such as the modular prosthetic limb (MPL), we are developing a novel system: the Hybrid …

Neural interfaces for the brain and spinal cord—restoring motor function

A Jackson, JB Zimmermann - Nature Reviews Neurology, 2012 - nature.com
Regaining motor function is of high priority to patients with spinal cord injury (SCI). A variety
of electronic devices that interface with the brain or spinal cord, which have applications in …