Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Towards clinical application of implantable brain–computer interfaces for people with late-stage ALS: medical and ethical considerations
Individuals with amyotrophic lateral sclerosis (ALS) frequently develop speech and
communication problems in the course of their disease. Currently available augmentative …
communication problems in the course of their disease. Currently available augmentative …
Home use of a percutaneous wireless intracortical brain-computer interface by individuals with tetraplegia
JD Simeral, T Hosman, J Saab… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective. Individuals with neurological disease or injury such as amyotrophic lateral
sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even …
sclerosis, spinal cord injury or stroke may become tetraplegic, unable to speak or even …
Clinical translation of a high-performance neural prosthesis
Neural prostheses have the potential to improve the quality of life of individuals with
paralysis by directly mapping neural activity to limb-and computer-control signals. We …
paralysis by directly mapping neural activity to limb-and computer-control signals. We …
A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces
The large power requirement of current brain–machine interfaces is a major hindrance to
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …
their clinical translation. In basic behavioural tasks, the downsampled magnitude of the 300 …
Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework
Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of
ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its …
ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its …
Making brain–machine interfaces robust to future neural variability
A major hurdle to clinical translation of brain–machine interfaces (BMIs) is that current
decoders, which are trained from a small quantity of recent data, become ineffective when …
decoders, which are trained from a small quantity of recent data, become ineffective when …
Invasive vs. non-invasive neuronal signals for brain-machine interfaces: will one prevail?
S Waldert - Frontiers in neuroscience, 2016 - frontiersin.org
Brain-machine interfaces (BMI) translate neuronal activity of the brain into signals driving an
external effector or affecting internal body parts and functions. Initially, their applications …
external effector or affecting internal body parts and functions. Initially, their applications …
BBB leakage, astrogliosis, and tissue loss correlate with silicon microelectrode array recording performance
NF Nolta, MB Christensen, PD Crane, JL Skousen… - Biomaterials, 2015 - Elsevier
The clinical usefulness of brain machine interfaces that employ penetrating silicon
microelectrode arrays is limited by inconsistent performance at chronic time points. While it …
microelectrode arrays is limited by inconsistent performance at chronic time points. While it …
Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals
T Milekovic, AA Sarma, D Bacher… - Journal of …, 2018 - journals.physiology.org
Restoring communication for people with locked-in syndrome remains a challenging clinical
problem without a reliable solution. Recent studies have shown that people with paralysis …
problem without a reliable solution. Recent studies have shown that people with paralysis …