Results 71 to 80 of about 89,345 (245)
Aim - to develop a hardware-software complex with combined command-proportional control of robotic devices based on electromyography (EMG) and electroencephalography (EEG) signals. Materials and methods.
S Yu Gordleeva +8 more
doaj +1 more source
Toward smarter BCIs: extending BCIs through hybridization and intelligent control [PDF]
This paper summarizes two novel ways to extend brain-computer interface (BCI) systems. One way involves hybrid BCIs. A hybrid BCI is a system that combines a BCI with another device to help people send information. Different types of hybrid BCIs are discussed, along with challenges and issues.
B Z, Allison +6 more
openaire +2 more sources
A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu +14 more
wiley +1 more source
The regenerator is the crucial component for the performance of any regenerative gas cycle. Due to the changing gas properties and flow conditions in the axial direction of a regenerator, a variation of its parameters in that direction is a promising ...
Sebastian Peveling, Hans-Detlev Kühl
doaj +1 more source
Finding Optimal Frequency and Spatial Filters Accompanying Blind Signal Separation of EEG Data for SSVEP-based BCI [PDF]
Brain-computer interface (BCI) is a device which allows paralyzed people to navigate a robot, prosthesis or wheelchair using only their own brains reactions.
Marcin Jukiewicz +2 more
doaj +1 more source
We have developed a glucose‐triggered on‐demand drug delivery CF‐CPGaMPN hydrogel based on borate ester bonds. It inactivates microbes, releases oxygen, and enables on‐demand drug release in high‐glucose environments to promote healing of diabetic wounds. Single‐cell sequencing reveals that the CF‐CPGaMPN hydrogel significantly alleviates dysfunctional
Manxuan Liu +8 more
wiley +1 more source
Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity
We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng +15 more
wiley +1 more source
Robust artifactual independent component classification for BCI practitioners [PDF]
Objective. EEG artifacts of non-neural origin can be separated from neural signals by independent component analysis (ICA). It is unclear (1) how robustly recently proposed artifact classifiers transfer to novel users, novel paradigms or changed ...
Allefeld, Carsten +5 more
core +1 more source
Bipolar fuzzy BCI-implicative ideals of BCI-algebras
The paper introduces the notions of bipolar fuzzy BCI-implicative ideals and bipolar fuzzy closed BCI-implicative ideals of BCI-algebras. It is proved that any bipolar fuzzy BCI-implicative ideal is a bipolar fuzzy ideal but not the converse. Characterizations of bipolar fuzzy BCI-implicative ideals and bipolar fuzzy closed BCIimplicative ideals are ...
openaire +2 more sources
Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata +15 more
wiley +1 more source

