Results 41 to 50 of about 6,149 (210)
Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity
Frontiers in Integrative Neuroscience, 2009 The ability to walk may be critically impacted as the result of neurological injury or disease. While recent advances in brain-machine interfaces (BMIs) have demonstrated the feasibility of upper-limb neuroprostheses, BMIs have not been evaluated as a ...
Nathan Fitzsimmons +11 more
doaj +1 more source
Frontiers in Neuroscience, 2021 Toward addressing many neuroprosthetic applications, the Neurochip3 (NC3) is a multichannel bidirectional brain-computer interface that operates autonomously and can support closed-loop activity-dependent stimulation.
Larry E. Shupe +12 more
doaj +1 more source
Cellular Modulation of Polymeric Device Surfaces: Promise of Adult Stem Cells for Neuro-Prosthetics [PDF]
, 2011 Minimizing the foreign body response is seen as one critical research strategy for implants especially when designed for immune-privileged organs like the brain. The context of this work is to improve deep brain stimulating devices used in a consistently
Anja eRichter +5 more
core +1 more source
Brain Sciences, 2022 Facial nerve (FN) injury can lead to debilitating and permanent facial paresis/paralysis (FP), where facial muscles progressively lose tone, atrophy, and ultimately reduce to scar tissue.
Arash Abiri +8 more
doaj +1 more source
Frontiers in Human Neuroscience, 2022 Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram (EEG) signals to improve the control of active prostheses with ...
Arnau Dillen +15 more
doaj +1 more source
Switching between Manual Control and Brain-Computer Interface Using Long Term and Short Term Quality Measures [PDF]
, 2012 Assistive devices for persons with limited motor control translate or amplify remaining functions to allow otherwise impossible actions. These assistive devices usually rely on just one type of input signal which can be derived from residual muscle ...
Alex eKreilinger +6 more
core +3 more sources
Advanced Healthcare Materials, EarlyView.PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan +12 more
wiley +1 more source
Bioactive Neuroelectronic Interfaces
Frontiers in Neuroscience, 2019 Within the neural engineering field, next-generation implantable neuroelectronic interfaces are being developed using biologically-inspired and/or biologically-derived materials to improve upon the stability and functional lifetime of current interfaces.
Dayo O. Adewole +8 more
doaj +1 more source
3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface
Advanced Materials, EarlyView.3D printed MRI‐compatible tissue‐like neural electrodes tailored to individual gyral patterns. This honeycomb‐inspired printable gel electrode (HiPGE) employs a bioinspired architecture with soft hydrogels, engineered to match the softness of brain tissue.
Marzia Momin +12 more
wiley +1 more source
A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions [PDF]
, 2014 Unlike assistive technology for verbal communication, the brain–machine or brain–computer interface (BMI/BCI) has not been established as a nonverbal communication tool for amyotrophic lateral sclerosis (ALS) patients.
Koji Kashihara
core +2 more sources