Results 121 to 130 of about 2,082,534 (353)
Engineering the Future of Restorative Clinical Peripheral Nerve Surgery
What if damaged nerves could regenerate more effectively? This review unveils cutting‐edge strategies to restore nerve function, from biomaterial scaffolds and bioactive molecules to living engineered tissues. By accelerating axonal regrowth, preserving Schwann cells, and enhancing connectivity, these approaches are reshaping nerve repair—offering new ...
Justin C. Burrell+5 more
wiley +1 more source
Early brain-computer interface (BCI) systems were mainly based on prior neurophysiological knowledge coupled with feedback training, while state-of-the-art interfaces rely on data-driven, machine learning (ML)-oriented methods.
Mushfika Sultana, Serafeim Perdikis
doaj +1 more source
Novel Virtual Moving Sound-based Spatial Auditory Brain-Computer Interface Paradigm
This paper reports on a study in which a novel virtual moving sound-based spatial auditory brain-computer interface (BCI) paradigm is developed. Classic auditory BCIs rely on spatially static stimuli, which are often boring and difficult to perceive when
Lelievre, Yohann, Rutkowski, Tomasz M.
core +1 more source
Biomimetic glycosaminoglycan analog hydrogels exhibit suitable and robust mechanical properties, as well as hemocompatibility and biocompatibility, making them ideal for the embolization of intracranial aneurysms. Notably, the hydrogel's environment‐selective swelling properties enable complete blockage of the aneurysm cavity while preventing ...
Sarit S. Sivan+8 more
wiley +1 more source
High-resolution SSVEP-based brain–computer interface
Steady-state visual evoked potential based brain–computer interface (BCI) is now attracting growing attention for its fast and efficient information transfer rate. However, human beings show excellent response only in a limited range of frequencies.
Shuailei Zhang+5 more
doaj +1 more source
Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface
One of the major limitations of motor imagery (MI)-based brain–computer interface (BCI) is its long calibration time. Due to between sessions/subjects variations in the properties of brain signals, typically, a large amount of training data needs to be ...
Ahmed M. Azab+3 more
semanticscholar +1 more source
The Impact of Flow in an EEG-based Brain Computer Interface [PDF]
Major issues in Brain Computer Interfaces (BCIs) include low usability and poor user performance. This paper tackles them by ensuring the users to be in a state of immersion, control and motivation, called state of flow.
Bonnet-Save, Manon+4 more
core +1 more source
A wireless cortical surface implant employing graphene electrode arrays diagnoses and alleviates Parkinson's disease symptoms in freely moving animals. The device continuously monitors cortical activity and delivers targeted stimulation, restoring beta–gamma and delta oscillations.
Hongseong Shin+15 more
wiley +1 more source
A survey of quantum computing hybrid applications with brain-computer interface
In recent years, researchers have paid more attention to the hybrid applications of quantum computing and brain-computer interfaces. With the development of neural technology and artificial intelligence, scientists have become more and more researching ...
Dandan Huang+3 more
doaj
AIMSPec‐LoC is a novel lab‐on‐a‐chip platform integrating size‐based extracellular vesicle (EVs) separation with label‐free Raman spectroscopy and AI‐powered classification via SKiNET. This high‐throughput, portable system enables real‐time, multiplexed molecular fingerprinting of EVs from biofluids, offering transformative potential for early, non ...
Emma Buchan+3 more
wiley +1 more source