Results 61 to 70 of about 6,266,309 (293)

EEG Signals Feature Extraction Based on DWT and EMD Combined with Approximate Entropy

Brain Sciences, 2019
The classification recognition rate of motor imagery is a key factor to improve the performance of brain−computer interface (BCI). Thus, we propose a feature extraction method based on discrete wavelet transform (DWT), empirical mode decomposition (
Na Ji, Liang Ma, Hui Dong, Xuejun Zhang
doaj   +1 more source

Multiresolution analysis over simple graphs for brain computer interfaces [PDF]

, 2013
Objective. Multiresolution analysis (MRA) offers a useful framework for signal analysis in the temporal and spectral domains, although commonly employed MRA methods may not be the best approach for brain computer interface (BCI) applications.
Palaniappan, R, Gan, J Q, Asensio-Cubero, J, Gan, JQ, Palaniappan, Ramaswamy   +4 more
core   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

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

IEEE 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, Shuang Gao, Chenglong Wang, Mingyang Li   +3 more
doaj   +1 more source

Development of an electrooculogram-based eye-computer interface for communication of individuals with amyotrophic lateral sclerosis

Journal of NeuroEngineering and Rehabilitation, 2017
Electrooculogram (EOG) can be used to continuously track eye movements and can thus be considered as an alternative to conventional camera-based eye trackers.
Won-Du Chang, Ho-Seung Cha, Do Yeon Kim, S. H. Kim, C. Im   +4 more
semanticscholar   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

FreeForm: An informal environment for interface prototyping [PDF]

, 2002
Best practice in interface design suggests that hand-drawn sketches are preferable at the early stages of the design process. This paper describes the FreeForm software which supports informal sketched interface design by acting as a Visual Basic Add-In.
Beryl Plimmer, Plimmer, Beryl, Masoodian, Masood, Apperley, Mark, Masood Masoodian, Mark Apperley   +5 more
core   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

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

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, Dan QIAO, Xun LANG, Lei XIE, Dongliu Li, Qibing Wang, Hongye SU   +6 more
doaj  

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

PLoS 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, Klaus-Robert Müller, Han-Jeong Hwang   +2 more
semanticscholar   +1 more source