Identification of spatial and temporal features of EEG

Identification of spatial and temporal features of EEG - ScienceDirect

This paper presents a method for analyzing the spatio-temporal characteristics associated with Event related Potentials (ERPs).

Identification of spatial and temporal features of EEG - HAL

Identification of spatial and temporal features of EEG. Neurocomput- ing, 2012, 90 (1), pp.66-71. 10.1016/j.neucom.2012.02.032 . hal-00777267 ...

Identification of spatial and temporal features of EEG - ResearchGate

Abstract. Classifying brain activities is a challenging task since Electroencephalography (EEG) recordings exhibit distinct and individualized ...

Identification of spatial and temporal features of EEG - HAL

Classifying brain activities is a challenging task since Electroencephalography (EEG) recordings exhibit distinct and individualized spatial and temporal ...

Spatial and temporal resolutions of EEG: Is it really black and white ...

Among the different brain imaging techniques, electroencephalography (EEG) is classically considered as having an excellent temporal resolution, ...

EEG temporal–spatial transformer for person identification - Nature

proposed a method based on common spatial pattern (CSP) to extract the spatial features of the EEG signals along with a self-attention algorithm ...

Identification of spatial and temporal features of EEG

Classifying brain activities is a challenging task since Electroencephalography (EEG) recordings exhibit distinct and individualized spatial and temporal ...

Temporal and Spatial Features of Single-Trial EEG for Brain ...

Combining IRA features with the CSP method, we obtain the optimal spatial and temporal features with which we achieve the best classification rate. The high ...

Identification of spatial and temporal features of EEG. - DBLP

Bibliographic details on Identification of spatial and temporal features of EEG.

(PDF) EEG Representations of Spatial and Temporal Features in ...

In this paper, we investigate the close relation of the spatial and temporal features between imagined speech and overt speech using electroencephalography ...

Identification of emotions evoked by music via spatial-temporal ...

The presented deep learning model consists of two separate channels to address the spatial and temporal information in the EEG signals, ...

EEG-Based Emotion Recognition Using Spatial-Temporal Connectivity

By quantifying the connectivity strength of EEG signal channels within and across time intervals, spatial-temporal connectivity features are ...

EEG Representations of Spatial and Temporal Features in Imagined ...

All impedances of the electrodes were maintained below 10 k during the experiment. EEG signals were recorded with ActiCap system, BrainAmp ...

Adaptive Spatial–Temporal Aware Graph Learning for EEG-Based ...

The experimental results affirm the model's efficacy in extracting EEG features linked to emotional semantics and demonstrate its promising performance in ...

Spatial–Temporal EEG Fusion Based on Neural Network for Major ...

Considering the complementarity between different types of features, the spatial–temporal electroencephalography features are fused to achieve ...

Identification of emotions evoked by music via spatial-temporal ...

One challenge with automated emotion recognition in. EEG signals is to extract and select the discriminating features to classify different.

Deep temporal networks for EEG-based motor imagery recognition

The electroencephalogram (EEG) based motor imagery (MI) signal classification, also known as motion recognition, is a highly popular area of ...

EEG Data Augmentation Method for Identity Recognition Based on ...

Within the discriminator, a temporal feature encoder and a spatial feature encoder were parallelly devised. These encoders effectively captured global ...

10 Spatial-Temporal Properties of EEG - Oxford Academic

Robust differences in spatial patterns of EEG coherence are found when comparing cognitive states (mental calculation) to resting states. During states of ...

Balancing Spectral, Temporal and Spatial Information for EEG ...

To do so, we systematically test various dimension resolution configurations on two routine EEG datasets. Our findings show that spatial ...