Results 61 to 70 of about 928,321 (341)

Human-Centered Automatic Tracking System for Underactuated Hovercraft Based on Adaptive Chattering-Free Full-Order Terminal Sliding Mode Control

open access: yesIEEE Access, 2018
Considering the difficult maneuverability of the hovercraft and the driving burden of the pilot, an automatic tracking system including an intuitive human-computer interface and an adaptive chattering-free full-order terminal sliding mode (ACFTSM ...
Mingyu Fu   +3 more
doaj   +1 more source

The cost of space independence in P300-BCI spellers. [PDF]

open access: yes, 2010
Background: Though non-invasive EEG-based Brain Computer Interfaces (BCI) have been researched extensively over the last two decades, most designs require control of spatial attention and/or gaze on the part of the user. Methods: In healthy adults, we
Chennu, Srivas   +4 more
core   +2 more sources

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

open access: yesFEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro   +2 more
wiley   +1 more source

Classification of motor imagery signals using noise-assisted fast multivariate empirical mode decomposition

open access: yes智能科学与技术学报, 2020
The brain-computer interface is an emerging technology,which can analyze the collected motor imagery signals to control the external auxiliary equipment.A new method based on the noise-assisted fast multivariate empirical mode decomposition (NA-FMEMD ...
Qian ZHENG   +6 more
doaj  

A three-dimension terminal simulation tool based on transfinite element method

open access: yesFrontiers in Physics, 2022
In the design of high-speed interconnection systems, it is often necessary to evaluate signal integrity and electromagnetic interference performance by extracting terminal network parameters and differential and common mode network parameters.
Siyi Yang   +6 more
doaj   +1 more source

Facilitating insight into a simulation model using visualization and dynamic model previews [PDF]

open access: yes, 2012
This paper shows how model simplification, by replacing iterative steps with unitary predictive equations, can enable dynamic interaction with a complex simulation process.
Cribbin, T, de Folter, J
core   +1 more source

Eyes-closed hybrid brain-computer interface employing frontal brain activation

open access: yesPLoS ONE, 2018
Brain-computer interfaces (BCIs) have been studied extensively in order to establish a non-muscular communication channel mainly for patients with impaired motor functions. However, many limitations remain for BCIs in clinical use.
Jaeyoung Shin   +2 more
semanticscholar   +1 more source

P‐glycoprotein modulates the fluidity gradient of the plasma membrane of multidrug resistant CHO cells

open access: yesFEBS Letters, EarlyView.
To explore the impact of the overexpression of the multidrug‐transporter P‐glycoprotein (ABCB1) on membrane fluidity, we compared the transversal gradient of mobility and microviscosity in plasma membranes of drug‐sensitive Chinese hamster ovary cells (AuxB1) and their multidrug‐resistant derivatives (B30) using the fluorescent n‐(9‐anthroyloxy) fatty ...
Roger Busche   +2 more
wiley   +1 more source

Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface

open access: yesiScience, 2018
A direct-speech brain-computer interface (DS-BCI) acquires neural signals corresponding to imagined speech, then processes and decodes these signals to produce a linguistic output in the form of phonemes, words, or sentences.
Ciaran Cooney   +2 more
doaj  

Brain-Computer Interface Controlled Cyborg: Establishing a Functional Information Transfer Pathway from Human Brain to Cockroach Brain

open access: yesPLoS ONE, 2016
An all-chain-wireless brain-to-brain system (BTBS), which enabled motion control of a cyborg cockroach via human brain, was developed in this work. Steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) was used in this system ...
Guangye Li, Dingguo Zhang
semanticscholar   +1 more source

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