Results 241 to 250 of about 309,712 (273)

Two-dimensional phase lag index image representation of electroencephalography for automated recognition of driver fatigue using convolutional neural network

Expert Systems with Applications, 2022
Jichi Chen, Shijie Wang, Enqiu He, Hong Wang, Lin Wang   +4 more
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A phase lag index hardware calculation for real-time electroencephalography studies

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Among the different techniques used for the analysis of electroencephalograms, the phase lag index has become an important method for the calculation of the functional brain connectivity. Currently, this method is implemented offline due to its high computational complexity restricting it from real-time applications that would require an online ...
Rafael Angel, Gutierrez Nuno, Koushik, Maharatna   +1 more
openaire   +2 more sources

Graph model of phase lag index for connectivity analysis in EEG of emotions

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023
Emotion recognition is useful in several fields, starting from medical diagnosis to driving a Brain-Computer Interface (BCI) or helping people with disabilities. During the last decades, many researchers applied automatic strategies to identify emotional states based on data acquired by electroen-cephalography (EEG).
Daniele Lozzi, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli   +3 more
openaire   +2 more sources

A phased lag index study in patients with disorders of consciousness

2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT), 2016
In this paper is presented an analysis of the phase lag index (PLI) in healthy controls and patients with disorders of consciousness aimed to find differences in connectivity of brain sources between these two states in different frequency bands.
Blanco, D. A., Annen, Jitka, Piarulli, Andrea, Diaz-Mendez, A., Laureys, Steven   +4 more
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Levodopa Reduces the Phase lag Index of Parkinson’s Disease Patients: A Magnetoencephalographic Study

Clinical EEG and Neuroscience, 2018
Objectives. As a method of measuring the phase difference between 2 signals, the phase lag index (PLI) of the alpha and beta bands in patients with Parkinson’s disease (PD) was investigated by using magnetoencephalography (MEG). Methods. Eighteen PD patients were measured by MEG in the state of overnight withdrawal of levodopa and after levodopa ...
Chunyan, Cao, Dianyou, Li, Ke, Zeng, Shikun, Zhan, Peng, Huang, Xiaoli, Li, Bomin, Sun   +6 more
openaire   +2 more sources

Functional Connectivity Alterations Based on the Weighted Phase Lag Index: An Exploratory Electroencephalography Study on Alzheimer’s Disease

Current Alzheimer Research, 2021
Objectives: Numerous electroencephalography (EEG) studies focus on the alteration of electrical activity in patients with Alzheimer’s Disease (AD), but there are no consistent results especially regarding functional connectivity. We supposed that the weighted Phase Lag Index (w- PLI), as phase-based measures of functional connectivity, may be used as ...
Yi, Yan, Aonan, Zhao, Weina, Ying, Yinghui, Qiu, Yanfei, Ding, Ying, Wang, Wei, Xu, Yulei, Deng   +7 more
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Compact, linear, lead/lag phase shifters using negative refractive index metamaterials

IEEE Antennas and Propagation Society International Symposium. Digest. Held in conjunction with: USNC/CNC/URSI North American Radio Sci. Meeting (Cat. No.03CH37450), 2004
A new type of phase shifter using cascaded sections of NRI metamaterials and PRI transmission lines has been proposed, which offers some significant advantages over conventional delay lines. The phase shifter is compact in size, can be easily fabricated using standard etching techniques and exhibits a linear phase response around the design frequency ...
M.A. Antoniades, G.V. Eleftheriades
openaire   +1 more source

Abnormalities of rhythms and phase lag index in the data-driven cortical network model of Alzheimer's disease

Nonlinear Dynamics, 2023
The typical hallmark of electroencephalogram (EEG) in Alzheimer’s disease (AD) is a slowing of rhythms and perturbations in synchrony. However, the mechanism of AD electrophysiological abnormalities is still ambiguous. Synapse deficiency has been considered as an evident neuropathological change in AD that is closely associated with cognitive decline ...
SiLu Yan, XiaoLi Yang, Jürgen Kurths
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P30. A novel application of the Phase-lag-Index in functional connectivity research

Clinical Neurophysiology, 2018
The phase-lag-index (PLI) ( Stam et al., 2007 ) is a commonly used method to quantify functional connectivity (FC) in EEG/MEG data. When calculated for short epochs in the order of several seconds, PLI varies considerably from epoch to epoch. Using resting-state EEG data from 105 healthy subjects, we demonstrate that the pattern of correlations between
J.G. Bogaarts, M. Chaturvedi, V. Cozac, U. Gschwandtner, M. Hardmeier, F. Hatz, A. Meyer, P. Fuhr, V. Roth   +8 more
openaire   +1 more source

P300 intention recognition based on phase lag index (PLI)-rich-club brain functional network

Review of Scientific Instruments
Brain–computer interface (BCI) technology based on P300 signals has a broad application prospect in the assessment and diagnosis of clinical diseases and game control. The paper of selecting key electrodes to realize a wearable intention recognition system has become a hotspot for scholars at home and abroad.
Zhongmin Wang, Leihua Xiang, Rong Zhang
openaire   +2 more sources