Results 51 to 60 of about 874,261 (376)

Deep learning for electroencephalogram (EEG) classification tasks: a review

Journal of Neural Engineering, 2019
Objective. Electroencephalography (EEG) analysis has been an important tool in neuroscience with applications in neuroscience, neural engineering (e.g. Brain–computer interfaces, BCI’s), and even commercial applications. Many of the analytical tools used
Alexander Craik, Yongtian He, J. Contreras-Vidal   +2 more
semanticscholar   +1 more source

Non-leptonic decays in an extended chiral quark model

, 2012
We consider the color suppressed (nonfactorizable) amplitude for the decay mode $\bar{B_{d}^0} \rightarrow \pi^0 \pi^{0} $. We treat the $b$-quark in the heavy quark limit and the energetic light ($u,d,s$) quarks within a variant of Large Energy ...
Eeg, J. O.
core   +1 more source

Non-factorizable contribtion to $\bar{B_{d}^0} \to \pi^0 D^{0}$

, 2010
The decay modes of the type $B \to \pi \, D $ are dynamically different. For the case $\bar{B_{d}^0} \to \pi^- D^{+} $ there is a substantial factorized contribution which dominates.
Eeg, Jan O., Leganger, Lars E.
core   +1 more source

Protecting privacy of users in brain-computer interface applications [PDF]

, 2019
Machine learning (ML) is revolutionizing research and industry. Many ML applications rely on the use of large amounts of personal data for training and inference.
Agarwal, Anisha, De Cock, Martine, Dowsley, Rafael, Lin, Chin-Teng, McKinney, Nicholas D, Nascimento, Anderson CA, Wu, Dongrui   +6 more
core   +2 more sources

Mobile applications, physical activity, and health promotion

BMC Health Services Research
Background This paper studies the role of mobile applications in promoting physical activity and user loyalty to them. In doing so, our study offers fresh insights into the role of mobile applications in promoting physical activity and healthier ...
Pedro Sousa Basto, Priscila Ferreira
doaj   +1 more source

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

IEEE transactions on neural systems and rehabilitation engineering, 2022
The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As time-series data, the spatial and temporal dependencies of the EEG signals between the time points and ...
J. Xie, J Zhang, Jiayao Sun, Zheng Ma, Liuni Qin, Guanglin Li, Hui Zhou, Yang Zhan   +7 more
semanticscholar   +1 more source

Non-factorizable contributions to $\bar{B^0_d} \to D_s^{(*)} \bar{D_s^{(*)}}$

, 2004
It is pointed out that decays of the type $B \to D \bar{D}$ have no factorizable contributions, unless at least one of the charmed mesons in the final state is a vector meson.
A. Hiorth, A. Prapotnik, Antonelli, Bertolini, Eeg, Fleischer, Grinstein, Hiorth, Hiorth, J.O. Eeg, S. Fajfer   +10 more
core   +1 more source

Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy [PDF]

, 2006
The aim of this study was to analyse the electroencephalogram (EEG) background activity of Alzheimer’s disease (AD) patients using the Multiscale Entropy (MSE).
Abásolo D, Abásolo D, Babloyantz A, Bird T D, D Abásolo, J Escudero, Lake D E, M López, Markand O N, P Espino, Pincus S M, R Hornero, Richman J S, Zweig M H   +13 more
core   +1 more source

Prediction Model for Etiologic Differentiation of Isolated Vestibular Syndrome in Emergency Settings

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to develop and validate a predictive model for differentiating central from peripheral etiologies in patients with isolated vestibular syndrome (VS). Methods In this multicenter retrospective cohort study, 506 patients with isolated VS from five hospitals were divided into derivation (n = 301) and validation (n = 205)
Guo Wenting, Du Liping, Yang Yi, Hu Jin, Ye Bijun, Wang Jianer, Liu Shuangsi, Guo Shunyuan, Cai Xiaofeng, Wang Huiyuan, Wu Bin, Yu Xiang, Shi Tianming   +12 more
wiley   +1 more source

Enhanced response inhibition in patients with drug‐resistant juvenile myoclonic epilepsy: Event‐related potentials evidence of excitatory–inhibitory imbalance

Epilepsia Open
Objective To investigate the excitatory–inhibitory imbalance in drug‐resistant Juvenile Myoclonic Epilepsy (DR‐JME) patients using event‐related potentials during motor and cognitive tasks.
Leviashvilli Sarah, Mor Yam, Lilach Goldstein, Firas Fahoum, Ben‐Eliezer Noam, Inbal Maidan   +5 more
doaj   +1 more source